id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
|---|---|---|---|---|---|---|---|
se_79638347 | stackoverflow | MACHINE_LEARNING | How to convert discrete choices (of a color) from neural network output to colors directly in tensorflow? | How to convert discrete choices (of a color) from neural network output to colors directly in tensorflow?
Context: I am learning to use tensorflow and want to do a simple experiment where I provide a neural network with 4 color choices for each pixel. The network should learn to pick the best colors from choices avail... | https://stackoverflow.com/questions/79638347/how-to-convert-discrete-choices-of-a-color-from-neural-network-output-to-color | python, numpy, tensorflow, keras, neural-network | 1,748,237,381 |
se_79605339 | stackoverflow | MACHINE_LEARNING | Tokenize and pad text sequences using TensorFlow for NLP classification | Tokenize and pad text sequences using TensorFlow for NLP classification
I'm working on a text classification problem using TensorFlow and NLP. I'm using the Tokenizer and pad_sequences utilities from tensorflow.keras.preprocessing.text. However, I'm encountering issues with sequence lengths and model input shapes.
fro... | https://stackoverflow.com/questions/79605339/tokenize-and-pad-text-sequences-using-tensorflow-for-nlp-classification | python, tensorflow, nlp | 1,746,339,824 |
se_73874287 | stackoverflow | MACHINE_LEARNING | How do I resolve the error: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors? | How do I resolve the error: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors?
I am trying to compile an image segmentation (U-net) model to run it on edge TPU (Coral Board). I have converted and quantized the model into .tflite and I am getting the follow... | https://stackoverflow.com/questions/73874287/how-do-i-resolve-the-error-attempting-to-use-a-delegate-that-only-supports-stat | python, tensorflow, deep-learning, tflite, edge-tpu | 1,664,316,884 |
se_41567895 | stackoverflow | MACHINE_LEARNING | Will scikit-learn utilize GPU? | Will scikit-learn utilize GPU?
Reading implementation of scikit-learn in TensorFlow: http://learningtensorflow.com/lesson6/ and scikit-learn: http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html I'm struggling to decide which implementation to use.
scikit-learn is installed as part of the tenso... | https://stackoverflow.com/questions/41567895/will-scikit-learn-utilize-gpu | python, tensorflow, scikit-learn, k-means, neuraxle | 1,484,048,243 |
se_79634904 | stackoverflow | MACHINE_LEARNING | Mismatch Between Quantized TFLite Layer Outputs and Expected Mathematical Values When Using get_tensor() | Mismatch Between Quantized TFLite Layer Outputs and Expected Mathematical Values When Using get_tensor()
I am trying to extract intermediate outputs from a quantized TFLite model using the TFLite interpreter. The goal is to verify that the model's intermediate outputs match the mathematically expected values( tensorfl... | https://stackoverflow.com/questions/79634904/mismatch-between-quantized-tflite-layer-outputs-and-expected-mathematical-values | python, tensorflow, interpreter, tensorflow-lite | 1,747,979,227 |
se_55472095 | stackoverflow | MACHINE_LEARNING | AttributeError: module 'resource' has no attribute 'getpagesize' | AttributeError: module 'resource' has no attribute 'getpagesize'
I am trying to use Tensorflow Object Detection API and I follow the steps mentioned in the given link -
https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html#tf-models-install
When I try to access the Ob... | https://stackoverflow.com/questions/55472095/attributeerror-module-resource-has-no-attribute-getpagesize | python-3.x, tensorflow, jupyter-notebook, object-detection | 1,554,199,618 |
se_63006575 | stackoverflow | MACHINE_LEARNING | What is the difference between MaxPool and MaxPooling layers in Keras? | What is the difference between MaxPool and MaxPooling layers in Keras?
I just started working with keras and noticed that there are two layers with very similar names for max-pooling: MaxPool and MaxPooling. I was surprised that I couldn't find the difference between these two on Google; so I am wondering what the dif... | https://stackoverflow.com/questions/63006575/what-is-the-difference-between-maxpool-and-maxpooling-layers-in-keras | python, tensorflow, machine-learning, keras, deep-learning | 1,595,299,480 |
se_49175704 | stackoverflow | MACHINE_LEARNING | How to reproduce results when using dropout regularization in Tensorflow | How to reproduce results when using dropout regularization in Tensorflow
I am training a neural network using dropout regularization. I save the weights and biases the network is initialized with, so that I can repeat the experiment when I get good results.
However, the use of dropout introduces some randomness in t... | https://stackoverflow.com/questions/49175704/how-to-reproduce-results-when-using-dropout-regularization-in-tensorflow | python, python-3.x, tensorflow, deterministic, regularized | 1,520,519,846 |
se_68046380 | stackoverflow | MACHINE_LEARNING | Loading a Keras model given an already opened file | Loading a Keras model given an already opened file
The common way to load a saved model is with keras.models.load_model method.
keras.models.load_model("/mypath/model.h5")
My question is if this can be done giving a file object, something like this:
file = open("/mypath/model.h5")
keras.models.load_model(file)
This ... | https://stackoverflow.com/questions/68046380/loading-a-keras-model-given-an-already-opened-file | python, file, tensorflow, keras | 1,624,102,270 |
se_79624070 | stackoverflow | MACHINE_LEARNING | Tensorflow allocates memory on GPU but GPU utilization 0% when running keras.model.fit()? | Tensorflow allocates memory on GPU but GPU utilization 0% when running keras.model.fit()?
I am training a CNN using keras and tensorflow on my NVIDIA RTX 2000 Ada Generation Laptop GPU on Ubuntu 24.04 with recommended nvidia-driver-570.
When I train my network on the cpu only version of tensorflow, it takes a long tim... | https://stackoverflow.com/questions/79624070/tensorflow-allocates-memory-on-gpu-but-gpu-utilization-0-when-running-keras-mod | tensorflow, keras, tensorflow2.0, tf.keras, nvidia-smi | 1,747,337,124 |
se_79628711 | stackoverflow | MACHINE_LEARNING | Grid search scikeras error : 'super' object has no attribute '__sklearn_tags__' | Grid search scikeras error : 'super' object has no attribute '__sklearn_tags__'
I am trying to run a gridsearch in my pycharm jupyter notebook.
Getting 'super' object has no attribute '__sklearn_tags__' error. This question was asked for RandomizedSearch previously, but none of the answers seem to wo... | https://stackoverflow.com/questions/79628711/grid-search-scikeras-error-super-object-has-no-attribute-sklearn-tags | python, tensorflow, keras, scikit-learn, pycharm | 1,747,656,504 |
se_79597666 | stackoverflow | MACHINE_LEARNING | RuntimeError: mat1 and mat2 shapes cannot be multiplied when using gradcam | RuntimeError: mat1 and mat2 shapes cannot be multiplied when using gradcam
I made a cnn model like this and trained the batch dataset.
My data preprocessing code was this
train_dir = r'C:\Users\roobe\BACH\norm\train\patches\train' # 훈련 데이터 폴더
val_dir = r'C:\Users\roobe\BACH\norm\train\patches\val' # 검증 데이터 폴더
# 데이터... | https://stackoverflow.com/questions/79597666/runtimeerror-mat1-and-mat2-shapes-cannot-be-multiplied-when-using-gradcam | python, tensorflow, machine-learning, deep-learning | 1,745,904,934 |
se_79629288 | stackoverflow | MACHINE_LEARNING | ImportError: cannot import name 'applications' from 'tensorflow.python.keras' | ImportError: cannot import name 'applications' from 'tensorflow.python.keras'
I am encountering issues importing the applications library to utilize the EfficientNetB0 model in an image classification model training.
I have reviewed the TensorFlow documentation, and supposedly, I should use the followi... | https://stackoverflow.com/questions/79629288/importerror-cannot-import-name-applications-from-tensorflow-python-keras | python, tensorflow, keras, efficientnet | 1,747,679,651 |
se_79535477 | stackoverflow | MACHINE_LEARNING | How can I save a TFLite model with a fixed input shape after using interpreter.resize_input_tensor? | How can I save a TFLite model with a fixed input shape after using interpreter.resize_input_tensor?
I am trying to run inference using the TFLite model of multipose-lightning-tflite-float16 distributed by movenet.
https://www.kaggle.com/models/google/movenet/tfLite
However, this model cannot be used unless you specify... | https://stackoverflow.com/questions/79535477/how-can-i-save-a-tflite-model-with-a-fixed-input-shape-after-using-interpreter-r | python, tensorflow, tensorflow-lite, pose-estimation | 1,742,967,145 |
se_79565183 | stackoverflow | MACHINE_LEARNING | How can I convert a TensorFlow 1 "BigGAN" model on Kaggle to TensorFlow Lite format? | How can I convert a TensorFlow 1 "BigGAN" model on Kaggle to TensorFlow Lite format?
How can I convert a TensorFlow 1 "BigGAN" model on Kaggle to TensorFlow Lite format?
https://www.tensorflow.org/hub/tutorials/biggan_generation_with_tf_hub?hl=ja
I am trying to implement the following source code to define a... | https://stackoverflow.com/questions/79565183/how-can-i-convert-a-tensorflow-1-biggan-model-on-kaggle-to-tensorflow-lite-for | tensorflow, tensorflow-lite, kaggle | 1,744,226,538 |
se_71978756 | stackoverflow | MACHINE_LEARNING | Keras symbolic inputs/outputs do not implement `__len__` error | Keras symbolic inputs/outputs do not implement `__len__` error
I want to make an AI playing my custom environment, unfortunately, when I run my code, following error accrues:
File "C:\Program Files\JetBrains\PyCharm Community Edition 2021.2\plugins\python-ce\helpers\pydev\_pydev_bundle\pydev_umd.py", line 198, in ru... | https://stackoverflow.com/questions/71978756/keras-symbolic-inputs-outputs-do-not-implement-len-error | python, python-3.x, tensorflow, keras, reinforcement-learning | 1,650,708,928 |
se_79626055 | stackoverflow | MACHINE_LEARNING | One-Step Ahead Forecasting with TensorFlow Structural Time Series | One-Step Ahead Forecasting with TensorFlow Structural Time Series
I have the following situation: I’m given a univariate time-series dataset y that I wish to model using feature variables X, which are provided alongside y. Naturally, my instinct is to split the data into a training set (y_train, X_train) and a testing... | https://stackoverflow.com/questions/79626055/one-step-ahead-forecasting-with-tensorflow-structural-time-series | tensorflow, time-series, modeling, tensorflow-probability | 1,747,438,435 |
se_56754220 | stackoverflow | MACHINE_LEARNING | Resolvilng: 'InvalidArgumentError: Number of channels must be 1, 3 or 4, was 0 [[{{node DecodeBmp_1}}]] [[{{node IteratorGetNext_11}}]]' | Resolvilng: 'InvalidArgumentError: Number of channels must be 1, 3 or 4, was 0 [[{{node DecodeBmp_1}}]] [[{{node IteratorGetNext_11}}]]'
I am trying to train a neural network for it to find lines in images, the images are in bmp file format and grey-scale. After the network training phase has begun the program... | https://stackoverflow.com/questions/56754220/resolvilng-invalidargumenterror-number-of-channels-must-be-1-3-or-4-was-0 | python, tensorflow, image-segmentation | 1,561,466,143 |
se_70307952 | stackoverflow | MACHINE_LEARNING | Get warning : You should probably TRAIN this model on a downstream task to be able to use it for predictions and inference. when loadin finetune model | Get warning : You should probably TRAIN this model on a downstream task to be able to use it for predictions and inference. when loadin finetune model
I get this message when loading a finetune model of Bert with a forward neural network on the last layer from a checkpoint directory.
This IS expected if you are initia... | https://stackoverflow.com/questions/70307952/get-warning-you-should-probably-train-this-model-on-a-downstream-task-to-be-ab | python, python-3.x, tensorflow, pytorch, huggingface-transformers | 1,639,155,382 |
se_34240703 | stackoverflow | MACHINE_LEARNING | What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits? | What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits?
In the tensorflow API docs they use a keyword called logits. What is it? A lot of methods are written like:
tf.nn.softmax(logits, name=None)
If logits is just a generic Tensor input, why is it named logits?
Secondly, what ... | https://stackoverflow.com/questions/34240703/what-are-logits-what-is-the-difference-between-softmax-and-softmax-cross-entrop | python, machine-learning, tensorflow | 1,449,929,007 |
se_54249577 | stackoverflow | MACHINE_LEARNING | ImportError: libcuda.so.1: cannot open shared object file | ImportError: libcuda.so.1: cannot open shared object file
When I run my code with TensorFlow directly, everything is normal.
However, when I run it in a screen window, I get the following error.
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
I have tried the command:
source /etc/... | https://stackoverflow.com/questions/54249577/importerror-libcuda-so-1-cannot-open-shared-object-file | python, tensorflow, cuda, screen, cuda-driver | 1,547,797,187 |
se_79615886 | stackoverflow | MACHINE_LEARNING | Error: A KerasTensor is symbolic: it's a placeholder for a shape an a dtype. It doesn't have any actual numerical value | Error: A KerasTensor is symbolic: it's a placeholder for a shape an a dtype. It doesn't have any actual numerical value
I have trying to recreate this tutorial that's found on tensorflow's docs. However, I've been having an error I cannot solve and seems to be related to the literal source code of the tutorial... | https://stackoverflow.com/questions/79615886/error-a-kerastensor-is-symbolic-its-a-placeholder-for-a-shape-an-a-dtype-it | python, tensorflow, keras, bert-language-model | 1,746,908,546 |
se_78731754 | stackoverflow | MACHINE_LEARNING | How do I fix an 'AttributeError: 'Sequential' object has no attribute '_get_save_spec' in Python | How do I fix an 'AttributeError: 'Sequential' object has no attribute '_get_save_spec' in Python
This code produces error 'AttributeError: 'Sequential' object has no attribute '_get_save_spec':
import tensorflow as tf
model = tf.keras.models.load_model("../mymodel.keras")
model.compile(optimizer='... | https://stackoverflow.com/questions/78731754/how-do-i-fix-an-attributeerror-sequential-object-has-no-attribute-get-save | tensorflow, keras, attributeerror, tensorflow-lite, sequential | 1,720,629,036 |
se_79619981 | stackoverflow | MACHINE_LEARNING | tflite model does not predict all the lines in hand as the .pt model does | tflite model does not predict all the lines in hand as the .pt model does
I trained a YOLOv8 model for hand line detection. When I test the model in Python, it correctly detects all four hand lines, but when I convert the model to .tflite format and test it in Android Studio (Kotlin), it only predicts three lines.
Pro... | https://stackoverflow.com/questions/79619981/tflite-model-does-not-predict-all-the-lines-in-hand-as-the-pt-model-does | kotlin, tensorflow, pytorch, artificial-intelligence | 1,747,150,614 |
se_66843500 | stackoverflow | MACHINE_LEARNING | How to convert a list of dictionaries to a tensorflow dataset? | How to convert a list of dictionaries to a tensorflow dataset?
I have a .jsonl dataset that I am trying to convert into a tensorflow dataset.
Each line of the .jsonl is of the form
{"text": "some text", "meta": "irrelevant"}
I need to get it into a tensorflow dataset where each element has a key "text" associated wit... | https://stackoverflow.com/questions/66843500/how-to-convert-a-list-of-dictionaries-to-a-tensorflow-dataset | python, json, tensorflow, tensorflow-datasets | 1,616,948,012 |
se_50523674 | stackoverflow | MACHINE_LEARNING | Deploying a microservice with Tensorflow at AWS Lambda | Deploying a microservice with Tensorflow at AWS Lambda
I have been stuck here for too long. I am trying to deploy a microservice that uses tensorflow. There is a single file by the name of handler.py which has the simple code below:
import json
import tensorflow as tf
import numpy as np
def main(event, context):
... | https://stackoverflow.com/questions/50523674/deploying-a-microservice-with-tensorflow-at-aws-lambda | python, amazon-web-services, tensorflow, aws-lambda | 1,527,233,142 |
se_62093781 | stackoverflow | MACHINE_LEARNING | Run Tensorflow 2 prediction on AWS Lambda | Run Tensorflow 2 prediction on AWS Lambda
I want to run a Tensorflow 2 LinearClassifier on AWS Lambda. I have a trained LinearClassifier tensorflow model. I want to run only the prediction in AWS Lambda, because of cost efficeny.
Currently I'm not sure how to handle it.
I tried to use normal TF2, but it is too big... | https://stackoverflow.com/questions/62093781/run-tensorflow-2-prediction-on-aws-lambda | python, amazon-web-services, tensorflow, aws-lambda | 1,590,782,353 |
se_79617456 | stackoverflow | MACHINE_LEARNING | TorchScript error: "The size of tensor a (3549) must match the size of tensor b (8400)" using YOLOv8 model on Android with PyTorch Mobile | TorchScript error: "The size of tensor a (3549) must match the size of tensor b (8400)" using YOLOv8 model on Android with PyTorch Mobile
I'm developing an Android application that uses a YOLOv8 model exported to TorchScript, which I load with PyTorch Mobile for object detection. The model was exported using... | https://stackoverflow.com/questions/79617456/torchscript-error-the-size-of-tensor-a-3549-must-match-the-size-of-tensor-b | python, android, kotlin, tensorflow, torchscript | 1,747,038,146 |
se_61385819 | stackoverflow | MACHINE_LEARNING | Trying to use data from coco-ssd to draw a bounding box | Trying to use data from coco-ssd to draw a bounding box
I have been recently inquiring about image recognition and found that JavaScript had an easy to use and beginner friendly way to do this using tensorflow.js. I managed to use the exemplar code for an interesting model I found called coco-ssd. It works really well... | https://stackoverflow.com/questions/61385819/trying-to-use-data-from-coco-ssd-to-draw-a-bounding-box | javascript, tensorflow, machine-learning, computer-vision, tensorflow.js | 1,587,640,247 |
se_79598568 | stackoverflow | MACHINE_LEARNING | Asynchronous multi-client Hugging Face inference server without blocking GPU utilization | Asynchronous multi-client Hugging Face inference server without blocking GPU utilization
I'm building a local inference server that handles multiple user requests concurrently on a single GPU.
Each user sends a prompt to a Hugging Face model (e.g., Llama-2, Mistral, Falcon).
However, I noticed that:
Running one large... | https://stackoverflow.com/questions/79598568/asynchronous-multi-client-hugging-face-inference-server-without-blocking-gpu-uti | python, tensorflow, huggingface-transformers, large-language-model | 1,745,935,644 |
se_79614771 | stackoverflow | MACHINE_LEARNING | tensorflow/core/framework/local_rendezvous.cc:407] Local rendezvous is aborting with status: OUT_OF_RANGE | tensorflow/core/framework/local_rendezvous.cc:407] Local rendezvous is aborting with status: OUT_OF_RANGE
I am experiencing an issue with an image classification model.
After extracting frames from videos, saving them in a suitable folder structure for creating an image dataset from a directory using tf.keras.utils.im... | https://stackoverflow.com/questions/79614771/tensorflow-core-framework-local-rendezvous-cc407-local-rendezvous-is-aborting | python, image, tensorflow, keras, model | 1,746,819,177 |
se_79611424 | stackoverflow | MACHINE_LEARNING | tf.keras.utils.image_dataset_from_directory Found 0 files belonging to 0 classes | tf.keras.utils.image_dataset_from_directory Found 0 files belonging to 0 classes
I am currently attempting to develop an image classification model and have organized my data using the following
DATASET/
ejercicio1/
train/
frames/
ejercicio1_train_0001.jpg
ejercicio1_train_0002.jpg... | https://stackoverflow.com/questions/79611424/tf-keras-utils-image-dataset-from-directory-found-0-files-belonging-to-0-classes | python, tensorflow, keras | 1,746,652,870 |
se_79611606 | stackoverflow | MACHINE_LEARNING | Is it safe to save preprocessed features with numpy in one Python environment and load them in another for model training? | Is it safe to save preprocessed features with numpy in one Python environment and load them in another for model training?
I'm working on a deepfake detection project using TensorFlow 2.6.2 on Windows. Due to package version conflicts (e.g. tensorflow==2.6.2 requires flatbuffers==1.12, but mediapipe requires flatbuffe... | https://stackoverflow.com/questions/79611606/is-it-safe-to-save-preprocessed-features-with-numpy-in-one-python-environment-an | python, tensorflow, deep-learning | 1,746,668,140 |
se_67584663 | stackoverflow | MACHINE_LEARNING | how to use GTX 1660 supper GPU in tensorflow? | how to use GTX 1660 supper GPU in tensorflow?
Edit:
it worked when I reinstall tensorflow.
I have GTX 1660 supper GPU and I installed the latest version of CUDA, cuDNN and the Driver.
when I import tensorflow as tf I get this message.
2021-05-18 12:19:45.541654: I tensorflow/stream_executor/platform/default/dso_loade... | https://stackoverflow.com/questions/67584663/how-to-use-gtx-1660-supper-gpu-in-tensorflow | python-3.x, tensorflow | 1,621,334,705 |
se_33622842 | stackoverflow | MACHINE_LEARNING | Error in python after 'import tensorflow': TypeError: __init__() got an unexpected keyword argument 'syntax' | Error in python after 'import tensorflow': TypeError: __init__() got an unexpected keyword argument 'syntax'
I installed TensorFlow on my Ubuntu 15.10 machine as instructed for CPU only:
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
The... | https://stackoverflow.com/questions/33622842/error-in-python-after-import-tensorflow-typeerror-init-got-an-unexpect | ubuntu, tensorflow | 1,447,129,442 |
se_79608270 | stackoverflow | MACHINE_LEARNING | Tensorflow timeseries cant predict Sine | Tensorflow timeseries cant predict Sine
i am trying to validate a tensorflow code for simple timeseries prediction in where:
X = np.arange(0, 2000, 0.5)
y = 2 * np.sin(X) + 0.8 * np.random.rand(X.shape[0])
and the following parameters for the timeseries:
LOOK_BACK = 100
FORECAST_HORIZON = 100
any model I use or try... | https://stackoverflow.com/questions/79608270/tensorflow-timeseries-cant-predict-sine | python, tensorflow, machine-learning | 1,746,519,751 |
se_78409648 | stackoverflow | MACHINE_LEARNING | TensorFlow/Transformers Compatibility Issue: ImportError from tensorflow.keras Causes Failure with TFElectraModel | TensorFlow/Transformers Compatibility Issue: ImportError from tensorflow.keras Causes Failure with TFElectraModel
The following code is from two years ago and throws an error on my current setup. I was wondering if it is related to the change to Keras 3 or what't is going on here.
I can get it to work
by excluding al... | https://stackoverflow.com/questions/78409648/tensorflow-transformers-compatibility-issue-importerror-from-tensorflow-keras-c | python, tensorflow, keras | 1,714,491,482 |
se_79607852 | stackoverflow | MACHINE_LEARNING | GNN Loss NaN after first training example? | GNN Loss NaN after first training example?
I am trying to train a GNN but am getting a NaN loss function immediately after the first training example. Below I have included all of the pertinent code. My input is 385 points in 3D space confined to a box with periodic boundary conditions. My model takes 5 inputs:
a 385... | https://stackoverflow.com/questions/79607852/gnn-loss-nan-after-first-training-example | python, tensorflow, keras, deep-learning | 1,746,496,141 |
se_69160892 | stackoverflow | MACHINE_LEARNING | ValueError: No gradients provided for any variable while doing regression for integer values, which include negatives using keras | ValueError: No gradients provided for any variable while doing regression for integer values, which include negatives using keras
I have a problem where I need to predict some integers from an image. The problem is that this includes some negative integers too. I have done some research and came across Poisson which d... | https://stackoverflow.com/questions/69160892/valueerror-no-gradients-provided-for-any-variable-while-doing-regression-for-in | python, tensorflow, keras | 1,631,527,775 |
se_79606076 | stackoverflow | MACHINE_LEARNING | How Can I Get Positive Responses Only from a Neural Net? | How Can I Get Positive Responses Only from a Neural Net?
I'm using TensorFlow. I have many simulated datasets for which values are real. Each one consists of 200 rows and two columns (variables). I'm using a convolutional neural net. I want the simulated data to be the input, and the three parameters in the model that... | https://stackoverflow.com/questions/79606076/how-can-i-get-positive-responses-only-from-a-neural-net | python, tensorflow, neural-network, conv-neural-network | 1,746,393,708 |
se_79604798 | stackoverflow | MACHINE_LEARNING | How does the Tensorflow Gradient Tape calculation work at a low level? | How does the Tensorflow Gradient Tape calculation work at a low level?
I have just seen some code which has sparked my interest.
with tf.GradientTape() as g:
y = f(x)
dy_dx = g.gradient(y, x)
(Code loosely taken from this reference.)
There are two things which I think are interesting about this:
The use of a co... | https://stackoverflow.com/questions/79604798/how-does-the-tensorflow-gradient-tape-calculation-work-at-a-low-level | python, tensorflow, machine-learning, neural-network | 1,746,282,325 |
se_79603499 | stackoverflow | MACHINE_LEARNING | Training a custom tokenizer with Huggingface gives weird token splits at inference | Training a custom tokenizer with Huggingface gives weird token splits at inference
So I trained a tokenizer from scratch using Huggingface’s tokenizers library (not AutoTokenizer.from_pretrained, but actually trained a new one). Seemed to go fine, no errors. But when I try to use it during inference, it splits words i... | https://stackoverflow.com/questions/79603499/training-a-custom-tokenizer-with-huggingface-gives-weird-token-splits-at-inferen | python, tensorflow, nlp, bert-language-model | 1,746,193,405 |
se_79603150 | stackoverflow | MACHINE_LEARNING | Tensorflow Dimension Errors | Tensorflow Dimension Errors
There is a problem when I'm using this model to classify images here is my scan screen code
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:camera/camera.dart';
import 'package:waste_pal/widgets/processing-image.dart';
import 'package:url_launcher/url_launcher.dart... | https://stackoverflow.com/questions/79603150/tensorflow-dimension-errors | flutter, tensorflow | 1,746,179,442 |
se_79594764 | stackoverflow | MACHINE_LEARNING | Increasing the size of the model | Increasing the size of the model
Recently I trained two MLP model and saved weights for future work. I develop one module for loading model and use these model in another module.
Load model module contain this code to load models:
def creat_model_extractor(model_path, feature_count):
"""
This function create m... | https://stackoverflow.com/questions/79594764/increasing-the-size-of-the-model | python, tensorflow, machine-learning | 1,745,736,646 |
se_74832665 | stackoverflow | MACHINE_LEARNING | Transfer Learning for Vanilla Neural Network | Transfer Learning for Vanilla Neural Network
Is it possible to do transfer learning for vanilla neural network?
I meant vanilla neural network as classic classification prediction such as whether the transaction is a fraud, the employee may quit the job, etc.
I have a trained neural network model which I would like to... | https://stackoverflow.com/questions/74832665/transfer-learning-for-vanilla-neural-network | tensorflow, machine-learning, pytorch, neural-network | 1,671,264,828 |
se_79599767 | stackoverflow | MACHINE_LEARNING | ImportError: cannot import name 'pywrap_tensorflow' from 'tensorflow.python' after reinstalling Python and TensorFlow | ImportError: cannot import name 'pywrap_tensorflow' from 'tensorflow.python' after reinstalling Python and TensorFlow
I'm encountering an issue when trying to import tensorflow after reinstalling both Python and TensorFlow. Here is the error I get when trying to simply import tensorflow:
ImportError ... | https://stackoverflow.com/questions/79599767/importerror-cannot-import-name-pywrap-tensorflow-from-tensorflow-python-aft | python, python-3.x, tensorflow, pip, huggingface-transformers | 1,745,998,040 |
se_39238057 | stackoverflow | MACHINE_LEARNING | TypeError: argument of type 'float' is not iterable | TypeError: argument of type 'float' is not iterable
I am new to python and TensorFlow. I recently started understanding and executing TensorFlow examples, and came across this one: https://www.tensorflow.org/versions/r0.10/tutorials/wide_and_deep/index.html
I got the error, TypeError: argument of type 'float' ... | https://stackoverflow.com/questions/39238057/typeerror-argument-of-type-float-is-not-iterable | python, pandas, tensorflow | 1,472,596,144 |
se_64743987 | stackoverflow | MACHINE_LEARNING | Error while using Tensorflow: no attribute 'variable_scope' | Error while using Tensorflow: no attribute 'variable_scope'
While using Tensorflow 2.x with 1.x code the following error occurs:
Code:
# load VAE model
import tensorflow.compat.v1 as tf #version - 2.3.0
tf.disable_v2_behavior()
tf.Variable
tf.enable_eager_execution
tf.variable_scope
config = process_config('NA... | https://stackoverflow.com/questions/64743987/error-while-using-tensorflow-no-attribute-variable-scope | python, tensorflow | 1,604,877,210 |
se_61078946 | stackoverflow | MACHINE_LEARNING | How to Get Reproducible Results (Keras, Tensorflow): | How to Get Reproducible Results (Keras, Tensorflow):
To make the results reproducible I've red more than 20 articles and added to my script maximum of the functions ... but failed.
In the official source I red there are 2 kinds of seeds - global and operational. May be, the key to solving my problem is setting the o... | https://stackoverflow.com/questions/61078946/how-to-get-reproducible-results-keras-tensorflow | tensorflow, keras, neural-network, tensorflow2.0 | 1,586,258,800 |
se_76035213 | stackoverflow | MACHINE_LEARNING | Compatibility issues of tensorflow with numpy versions | Compatibility issues of tensorflow with numpy versions
I installed tensorflow via my Anaconda prompt and the command
pip install tensorflow
Thus, tensorflow-2.12.0 was installed. However, this came with the error message
numba 0.55.1 requires numpy<1.22,>=1.18, but you have numpy 1.22.4 which is incompatible.
When ... | https://stackoverflow.com/questions/76035213/compatibility-issues-of-tensorflow-with-numpy-versions | python, numpy, tensorflow | 1,681,734,927 |
se_59402205 | stackoverflow | MACHINE_LEARNING | Dose Chinese need WordPiece? | Dose Chinese need WordPiece?
I want to use Chinese Bert model. In tokenization.py, I found a WordpieceTokenizer function, but I don't think it is needed to use WordPiece for Chinese, because the minimal unit of Chinese is character.
WordpieceTokenizer is just for English text, am I right? | https://stackoverflow.com/questions/59402205/dose-chinese-need-wordpiece | tensorflow, nlp | 1,576,719,035 |
se_79593658 | stackoverflow | MACHINE_LEARNING | how to load a tensorflow model using tensorflowjs | how to load a tensorflow model using tensorflowjs
i was building a simple demo that would load a model that i have converted a JSON and binary using tensorfjs. The model is utilizing the following architecture
model = Sequential([
Flatten(input_shape=(28, 28)),
Dense(128, activation='relu'),
Dense(10, acti... | https://stackoverflow.com/questions/79593658/how-to-load-a-tensorflow-model-using-tensorflowjs | tensorflow, keras, tensorflow.js, tensorflowjs-converter | 1,745,650,590 |
se_79592544 | stackoverflow | MACHINE_LEARNING | Tensorflow - Trained model always wrong, on image it trained on | Tensorflow - Trained model always wrong, on image it trained on
I'm currently learning Tensorflow.
And the best way to do so is to get hands dirty right.
As an exercise Im training a model with some pokemon data found on kaggle.
After the model has been created and I check it with one of the pictures, that trained it,... | https://stackoverflow.com/questions/79592544/tensorflow-trained-model-always-wrong-on-image-it-trained-on | python, tensorflow, machine-learning, model | 1,745,585,145 |
se_75686441 | stackoverflow | MACHINE_LEARNING | TypeError: 'BatchDataset' object is not subscriptable | TypeError: 'BatchDataset' object is not subscriptable
plt.figure(figsize = (15,15))
# data_files.take(count) : Creates a Dataset with at most 'count' elements(batch) from the dataset
for image, label in data_files.take(1):
for i in range(12):
plt.subplot(3, 4,i+1) # many plots at a time =>subpots
... | https://stackoverflow.com/questions/75686441/typeerror-batchdataset-object-is-not-subscriptable | python, tensorflow | 1,678,374,405 |
se_69168112 | stackoverflow | MACHINE_LEARNING | Post processing output of Palm detector model from MediaPipe | Post processing output of Palm detector model from MediaPipe
I'm trying to use the tflite hand models from:
https://drive.google.com/file/d/1yiPfkhb4hSbXJZaSq9vDmhz24XVZmxpL/preview
I'm having trouble post processing the outputs of the palm detection model to get the bounding box for the palm in an input image.
""
Pal... | https://stackoverflow.com/questions/69168112/post-processing-output-of-palm-detector-model-from-mediapipe | tensorflow, machine-learning, computer-vision, tensorflow-lite, inference | 1,631,561,270 |
se_74580987 | stackoverflow | MACHINE_LEARNING | No module named 'tensorflow.keras' ModuleNotFoundError: | No module named 'tensorflow.keras' ModuleNotFoundError:
My system information :
Windows version : 11
Python version : 3.10.7
Tensorflow : 2.11.0
pip : 22.3.1
I have checked the previous questions which are similar to mine but they didn't help.
ModuleNotFoundError: No module named 'tenso... | https://stackoverflow.com/questions/74580987/no-module-named-tensorflow-keras-modulenotfounderror | python, tensorflow, jupyter-notebook, modulenotfounderror | 1,669,454,240 |
se_79592460 | stackoverflow | MACHINE_LEARNING | Why does ML.NET Image Classification with Ampere Gpu return fixed results when it otherwise works with CPU and Turing Gpu support? | Why does ML.NET Image Classification with Ampere Gpu return fixed results when it otherwise works with CPU and Turing Gpu support?
We currently have a trained ResnetV250 image classification model that performs as expected on CPU and with GPU support on Turing based cards with CUDA 10.1 and cudnn 7.6.4.
When transferr... | https://stackoverflow.com/questions/79592460/why-does-ml-net-image-classification-with-ampere-gpu-return-fixed-results-when-i | tensorflow, nvidia, ml.net | 1,745,581,889 |
se_79590419 | stackoverflow | MACHINE_LEARNING | Trouble loading tensorflow when running cloned repo | Trouble loading tensorflow when running cloned repo
So, I'm trying to get the code from this repo https://github.com/amin20/GBM_WSSM working but I'm running into a persistent error.
Using TensorFlow backend.
Traceback (most recent call last):
File "C:\Users\trans\source\repos\GBM_WSSM\.venv\lib\site-packages\tensorf... | https://stackoverflow.com/questions/79590419/trouble-loading-tensorflow-when-running-cloned-repo | python, tensorflow, keras, deep-learning | 1,745,492,847 |
se_79567564 | stackoverflow | MACHINE_LEARNING | Oom-kill event by cgroup when using grid search with cross-validation for training LSTM with Keras | Oom-kill event by cgroup when using grid search with cross-validation for training LSTM with Keras
I´m training LSTM models and doing grid search with cross-validation (10 kfolds per model), using parallel processes with MPI on SLURM environment. I'm using CPUs (not tried cuda yet) and getting the following error:
slu... | https://stackoverflow.com/questions/79567564/oom-kill-event-by-cgroup-when-using-grid-search-with-cross-validation-for-traini | tensorflow, keras, out-of-memory, slurm, grid-search | 1,744,318,586 |
se_79590090 | stackoverflow | MACHINE_LEARNING | model.predict hangs in celery/uwsgi | model.predict hangs in celery/uwsgi
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from apps.common.utils.error_handling import suppress_callable_to_sentry
from django.conf import settings
from threading import Lock
MODEL_PATH = settings.BASE_DIR / "apps/core/utils/nsfw_detector/nsfw.299x299.... | https://stackoverflow.com/questions/79590090/model-predict-hangs-in-celery-uwsgi | python, django, tensorflow, keras, celery | 1,745,482,245 |
se_79588564 | stackoverflow | MACHINE_LEARNING | my clasification A.I. model cant surpass a certain validation precision threshold | my clasification A.I. model cant surpass a certain validation precision threshold
I've recently getting started with A.I. and for a project i wanted to create a model that can classify what kind of disease you have based on a chest x-ray, After writing the model and using the DenseNet architecture( as it was the best ... | https://stackoverflow.com/questions/79588564/my-clasification-a-i-model-cant-surpass-a-certain-validation-precision-threshol | python, tensorflow, keras, artificial-intelligence, densenet | 1,745,409,389 |
se_64102020 | stackoverflow | MACHINE_LEARNING | ModuleNotFoundError: No module named 'keras_preprocessing' | ModuleNotFoundError: No module named 'keras_preprocessing'
I'm trying to implement YOLO3 object detection using tensorflow 2.0 on google colab : https://github.com/theAIGuysCode/Object-Detection-API
And for this particular line:
!python3 /content/Object-Detection-API/load_weights.py
I'm facing this error:
Mod... | https://stackoverflow.com/questions/64102020/modulenotfounderror-no-module-named-keras-preprocessing | tensorflow, keras, conda, google-colaboratory | 1,601,295,341 |
se_42755129 | stackoverflow | MACHINE_LEARNING | Installing Tensorflow - not supported wheel | Installing Tensorflow - not supported wheel
I have installed Python version 3.5 and 3.6 and anaconda.
The following error occures when trying to install tensorflow following the steps here
https://www.tensorflow.org/install/install_windows
unsing anaconda
(tensorflow) C:> pip install --ignore-installed --upgrade htt... | https://stackoverflow.com/questions/42755129/installing-tensorflow-not-supported-wheel | python, tensorflow | 1,489,366,854 |
se_44131295 | stackoverflow | MACHINE_LEARNING | keras - cannot import name Conv2D | keras - cannot import name Conv2D
I recently got the deep learning docker from https://github.com/floydhub/dl-docker running and while trying out the tutorials, received an error when importing the keras layers module.
from __future__ import print_function
import keras
from keras.datasets import cifar10
from keras.p... | https://stackoverflow.com/questions/44131295/keras-cannot-import-name-conv2d | python, tensorflow, neural-network, keras, theano | 1,495,532,775 |
se_79568511 | stackoverflow | MACHINE_LEARNING | How can I create an iterative process when i have an TFF error with an inexisting module | How can I create an iterative process when i have an TFF error with an inexisting module
When I try to create my iterative process for training my federated models with Tensorflow, I encounter this error
module 'tensorflow_federated.python.learning.algorithms' has no attribute 'build_federated_averaging_process'
The ... | https://stackoverflow.com/questions/79568511/how-can-i-create-an-iterative-process-when-i-have-an-tff-error-with-an-inexistin | tensorflow, tensorflow-federated, federated-learning | 1,744,364,482 |
se_79561620 | stackoverflow | MACHINE_LEARNING | how to convert a QAT quantization aware trained tensorflow graph into tflite model? | how to convert a QAT quantization aware trained tensorflow graph into tflite model?
I have am quantizing a neural network using QAT and I want to convert it into tflite.
Quantization nodes get added to the skeleton graph and we get a new graph.
I am able to load the trained QAT weights on the new graph and I am able t... | https://stackoverflow.com/questions/79561620/how-to-convert-a-qat-quantization-aware-trained-tensorflow-graph-into-tflite-mod | tensorflow, quantization, tflite, quantization-aware-training | 1,744,103,315 |
se_61553444 | stackoverflow | MACHINE_LEARNING | There is a sudden increase in loss in my machine training. Is there any specific reason and how it could be addressed? | There is a sudden increase in loss in my machine training. Is there any specific reason and how it could be addressed?
I have been training my dataset using a neural network as follows based on a dataset of a stock market index. But all of a sudden after running like over 60 times and the loss suddenly upsurge. Has ... | https://stackoverflow.com/questions/61553444/there-is-a-sudden-increase-in-loss-in-my-machine-training-is-there-any-specific | tensorflow, machine-learning, neural-network, conv-neural-network, lstm | 1,588,383,929 |
se_76963864 | stackoverflow | MACHINE_LEARNING | Low score and wrong answer for Flan-T5-XXL "question-answering" task | Low score and wrong answer for Flan-T5-XXL "question-answering" task
I'm trying to run Flan-T5-XXL model for a "question-answering" task.
Here's how I loaded and executed the model:
model_id = "~/Downloads/test_LLM/flan-t5-xxl"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForQuestionA... | https://stackoverflow.com/questions/76963864/low-score-and-wrong-answer-for-flan-t5-xxl-question-answering-task | python, tensorflow, nlp, huggingface-transformers, huggingface | 1,692,813,807 |
se_77425414 | stackoverflow | MACHINE_LEARNING | How to remove duplicate matplotlib plot | How to remove duplicate matplotlib plot
I am trying to develop a small feature that plots dynamically the loss or accuracy during the training of a Tensorflow model. I basically plot the history of accuracies at the end of each batch processing for each epoch (the code still needs some corrections but it works correct... | https://stackoverflow.com/questions/77425414/how-to-remove-duplicate-matplotlib-plot | python, tensorflow, matplotlib, jupyter-notebook, duplicates | 1,699,177,124 |
se_52089601 | stackoverflow | MACHINE_LEARNING | Keras Dense layer's input is not flattened | Keras Dense layer's input is not flattened
This is my test code:
from keras import layers
input1 = layers.Input((2,3))
output = layers.Dense(4)(input1)
print(output)
The output is:
<tf.Tensor 'dense_2/add:0' shape=(?, 2, 4) dtype=float32>
But What Happend?
The documentation says:
Note: if the input to ... | https://stackoverflow.com/questions/52089601/keras-dense-layers-input-is-not-flattened | python, tensorflow, machine-learning, keras, keras-layer | 1,535,605,858 |
se_79208766 | stackoverflow | MACHINE_LEARNING | Install Tensorflow on M1 Max Mac using Conda and VS Code | Install Tensorflow on M1 Max Mac using Conda and VS Code
I'm having the hardest time getting Tensorflow to install on my Mac and I've tried several approaches. Searching the internet for solutions led to recreating my Conda environments, trying pip, uninstalling things and trying again, downgrading Python, etc. Now ... | https://stackoverflow.com/questions/79208766/install-tensorflow-on-m1-max-mac-using-conda-and-vs-code | python, tensorflow, keras, installation, conda | 1,732,132,483 |
se_79581077 | stackoverflow | MACHINE_LEARNING | libtensorflow not installing on Mac Sillicon chip laptops | libtensorflow not installing on Mac Sillicon chip laptops
I am trying to install face-api.js. When running npm install I get the error - npm error Error: Unsupported system: cpu-darwin-arm64. Full logs:
npm error command sh -c node scripts/install.js
npm error CPU-darwin-1.7.0.tar.gz
npm error * Downloading libtensorf... | https://stackoverflow.com/questions/79581077/libtensorflow-not-installing-on-mac-sillicon-chip-laptops | tensorflow, apple-m1 | 1,744,981,191 |
se_59231793 | stackoverflow | MACHINE_LEARNING | ModuleNotFoundError: No module named 'tensorflow.keras' | ModuleNotFoundError: No module named 'tensorflow.keras'
I have installed DeepPoseKit using the guide on the github page.
I have the following tensorflow-gpu version:
[jalal@goku examples]$ python -c 'import tensorflow as tf; print(tf.__version__)'
/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-package... | https://stackoverflow.com/questions/59231793/modulenotfounderror-no-module-named-tensorflow-keras | python, tensorflow, keras | 1,575,769,737 |
se_79569006 | stackoverflow | MACHINE_LEARNING | 'TypeError: Bases must be types' when trying to import tensorflow | 'TypeError: Bases must be types' when trying to import tensorflow
When trying to import tensorflow I get the following error:
File "E:/Users/jan/Python_Lernen/NN play_data.py", line 2, in <module>
import tensorflow as tf
File "E:\Users\jan\Anaconda3\lib\site-packages\tensorflow\__init__.py", line 98, i... | https://stackoverflow.com/questions/79569006/typeerror-bases-must-be-types-when-trying-to-import-tensorflow | tensorflow, tensorflow2.0 | 1,744,379,715 |
se_79577591 | stackoverflow | MACHINE_LEARNING | Why are my tflite model outputs so much larger than expected? | Why are my tflite model outputs so much larger than expected?
UPDATED FOR CLARITY:
I'm trying to understand tensorflow at a hello world level
I'm getting larger values than I should for my bounding boxes points
the way I understand it is that when you normalize you get a value from 0 to 1
then you multiply that by im... | https://stackoverflow.com/questions/79577591/why-are-my-tflite-model-outputs-so-much-larger-than-expected | c++, tensorflow | 1,744,818,608 |
se_79520909 | stackoverflow | MACHINE_LEARNING | What's necessary for the `keras` tag to populate on TensorBoard? | What's necessary for the `keras` tag to populate on TensorBoard?
I'm trying to view the conceptual graph of a fairly complex TensorFlow model in TensorBoard. However, the option is greyed out. (I have no issue viewing the op graph).
My understanding is that in TensorBoard, the keras tag is necessary to view the ... | https://stackoverflow.com/questions/79520909/whats-necessary-for-the-keras-tag-to-populate-on-tensorboard | python, tensorflow, keras, tensorboard | 1,742,403,813 |
se_79577892 | stackoverflow | MACHINE_LEARNING | ValueError: Only images with two spatial dimensions are supported. If using with color/multichannel images, specify `channel_axis` | ValueError: Only images with two spatial dimensions are supported. If using with color/multichannel images, specify `channel_axis`
def hog_transform(x):
fd = hog(x.numpy() * 255,
orientations=self.orientations,
pixels_per_cell=self.pixels_per_cell,
... | https://stackoverflow.com/questions/79577892/valueerror-only-images-with-two-spatial-dimensions-are-supported-if-using-with | python, tensorflow | 1,744,828,483 |
se_79578768 | stackoverflow | MACHINE_LEARNING | How to reshape a tensor from [B, L, C] to [B, L * C] in tensorflow 1.x? | How to reshape a tensor from [B, L, C] to [B, L * C] in tensorflow 1.x?
I have a tensor whose shape is [B, L, C]. I need to reshape it to [B, L * C]. I've tried this:
shape = tf.shape(x)
item_vec = tf.reshape(x, [shape[0], shape[1] * shape[2]])
But while I put it into a tf.contrib.layers.fully_connected, it throw out... | https://stackoverflow.com/questions/79578768/how-to-reshape-a-tensor-from-b-l-c-to-b-l-c-in-tensorflow-1-x | python, tensorflow | 1,744,876,937 |
se_70043645 | stackoverflow | MACHINE_LEARNING | How to convert from tensor to float | How to convert from tensor to float
I am having a list of tensors I want to convert to floating points how can I do it. I have tried using .item but it is not working. I am getting ValueError: only one element tensors can be converted to Python scalars.
tensor([[12.1834, 4.9616, 7.7913],
[ 8.9394, 8.5784, ... | https://stackoverflow.com/questions/70043645/how-to-convert-from-tensor-to-float | python, tensorflow, pytorch, tensor, torch | 1,637,388,382 |
se_79577327 | stackoverflow | MACHINE_LEARNING | Reinforcement learning Atari video recording crashes | Reinforcement learning Atari video recording crashes
I am learning Reinforcement Learning and picked the Atari Breakout environment to learn. I have trained the neural nets, and now am trying to create some videos to visualize the results.
I am using the code below to save the video in MP4 format:
import os
os.enviro... | https://stackoverflow.com/questions/79577327/reinforcement-learning-atari-video-recording-crashes | tensorflow, pytorch, reinforcement-learning | 1,744,811,398 |
se_76109047 | stackoverflow | MACHINE_LEARNING | Integrate batch size in keras tuner | Integrate batch size in keras tuner
I am new to Keras and have been using KerasTuner for the hyperparameters. This works very well, but I have not yet managed to tune the batch size.
There is an official way from Keras, which was discussed here:
How to tune the number of epochs and batch_size?
I have tried to implemen... | https://stackoverflow.com/questions/76109047/integrate-batch-size-in-keras-tuner | python, tensorflow, keras, hyperparameters, keras-tuner | 1,682,500,479 |
se_60602434 | stackoverflow | MACHINE_LEARNING | Keras Tuner - Model-building function did not return a valid Keras Model instance | Keras Tuner - Model-building function did not return a valid Keras Model instance
I'm trying to search Hyperparameters for a model using Keras Tuner, but I'm getting this error when I run the code: "RuntimeError: Model-building function did not return a valid Keras Model instance, found < keras.engine.sequential.Seque... | https://stackoverflow.com/questions/60602434/keras-tuner-model-building-function-did-not-return-a-valid-keras-model-instanc | python, tensorflow, keras | 1,583,763,454 |
se_79574918 | stackoverflow | MACHINE_LEARNING | Why is my TensorFlow CNN OCR model outputting incorrect characters for Persian license plates? | Why is my TensorFlow CNN OCR model outputting incorrect characters for Persian license plates?
I’m building a FastAPI web API to detect Persian car license plates using YOLOv8 and extract their text with a custom TensorFlow CNN OCR model. YOLOv8 correctly detects the plate’s bounding box, but the OCR step outputs inco... | https://stackoverflow.com/questions/79574918/why-is-my-tensorflow-cnn-ocr-model-outputting-incorrect-characters-for-persian-l | python, tensorflow, keras, ocr, farsi | 1,744,712,566 |
se_58424974 | stackoverflow | MACHINE_LEARNING | Anaconda ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found | Anaconda ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found
I am getting the following import error when I am trying to run a Python script in a conda environment
(squad) azada@scholar-fe00:~/Desktop/Toy-Problem-Team-2 $ python3 train.py
Traceback (most recent call last):
File "train.py"... | https://stackoverflow.com/questions/58424974/anaconda-importerror-usr-lib64-libstdc-so-6-version-glibcxx-3-4-21-not-fo | python, c++, tensorflow, anaconda, glibc | 1,571,286,889 |
se_79574127 | stackoverflow | MACHINE_LEARNING | Cannot see all `Dense` layer info from `search_space_summary()` when using `RandomSearch Tuner` in Keras-Tuner? | Cannot see all `Dense` layer info from `search_space_summary()` when using `RandomSearch Tuner` in Keras-Tuner?
I am trying to use keras-tuner to tune hyperparameters, like
!pip install keras-tuner --upgrade
import keras_tuner as kt
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Den... | https://stackoverflow.com/questions/79574127/cannot-see-all-dense-layer-info-from-search-space-summary-when-using-rand | python, tensorflow, keras, hyperparameters, keras-tuner | 1,744,670,731 |
se_79429910 | stackoverflow | MACHINE_LEARNING | Using tf.keras.utils.image_dataset_from_directory mismatches labels on the images | Using tf.keras.utils.image_dataset_from_directory mismatches labels on the images
Here's the code
train_dset = image_dataset_from_directory(
directory = data_path,
batch_size = 32,
image_size = (256,256),
label_mode = "int",
shuffle = True
)
in data_path, I have
-> dataset
|-> train
|-> ... | https://stackoverflow.com/questions/79429910/using-tf-keras-utils-image-dataset-from-directory-mismatches-labels-on-the-image | python, tensorflow, keras, deep-learning, conv-neural-network | 1,739,275,721 |
se_74852225 | stackoverflow | MACHINE_LEARNING | AttributeError: module 'numpy' has no attribute 'typeDict' | AttributeError: module 'numpy' has no attribute 'typeDict'
I am trying to install TensorFlow in Python. I am getting the following error message, I tried uninstalling NumPy and re-installing NumPy but still getting the same error message. How to resolve this issue?
AttributeError: module 'numpy' has no... | https://stackoverflow.com/questions/74852225/attributeerror-module-numpy-has-no-attribute-typedict | python, numpy, tensorflow | 1,671,461,952 |
se_79573345 | stackoverflow | MACHINE_LEARNING | Can Tensorflow or PyTorch work with json time series data in this format? | Can Tensorflow or PyTorch work with json time series data in this format?
I'm trying to make a LSTM model to predict sign language sentence with this format of json file. This json file is containing the coordinates information of 21 hand landmark joints for each frames and each hands.(left hand, right hand)
Here's th... | https://stackoverflow.com/questions/79573345/can-tensorflow-or-pytorch-work-with-json-time-series-data-in-this-format | json, tensorflow, machine-learning, lstm | 1,744,639,882 |
se_79573648 | stackoverflow | MACHINE_LEARNING | Why do model.evaluate() vs. manual loss computation with model.predict() in tf.keras do not add up? | Why do model.evaluate() vs. manual loss computation with model.predict() in tf.keras do not add up?
I use keras and tensorflow to train a 'simple' Multilayer Perceptron (MLP) for a regression task, where I use the mean-squared error (MSE) as loss-function. I denote my training data as x_train, y_train and my test data... | https://stackoverflow.com/questions/79573648/why-do-model-evaluate-vs-manual-loss-computation-with-model-predict-in-tf-k | python, numpy, tensorflow, keras, regression | 1,744,648,997 |
se_79567454 | stackoverflow | MACHINE_LEARNING | Deploying an LSTM Model App on Streamlist Cloud | Deploying an LSTM Model App on Streamlist Cloud
I am deploying an app that is using an LSTM Model saved as .h5. It worked perfectly locally, but while deploying on the Streamlit Cloud, it gives the this error:
ValueError: Unrecognized keyword arguments passed to LSTM:
{'time_major': False} in the streamlit cloud | https://stackoverflow.com/questions/79567454/deploying-an-lstm-model-app-on-streamlist-cloud | tensorflow, lstm, streamlit | 1,744,314,019 |
se_79571609 | stackoverflow | MACHINE_LEARNING | Getting ValueError: Unexpected object from deserialization, expected a layer or operation, got a <class '__main__.L1Dist'> | Getting ValueError: Unexpected object from deserialization, expected a layer or operation, got a <class '__main__.L1Dist'>
here is the code from the Distance layer part because site is not allowing me to upload full code.
embedding = make_embedding()
distance layer
class L1Dist(Layer):
def __init__... | https://stackoverflow.com/questions/79571609/getting-valueerror-unexpected-object-from-deserialization-expected-a-layer-or | python, tensorflow, keras | 1,744,551,739 |
se_78539937 | stackoverflow | MACHINE_LEARNING | Computing effective sample size in tensorflow - Complex128 Warning | Computing effective sample size in tensorflow - Complex128 Warning
When computing the effective sample size of a NumPy array as done below
import numpy as np
import tensorflow_probability as tfp
x = np.random.randn(1000, 2, dtype=np.float64)
ess = tfp.mcmc.effective_sample_size(x)
I get the following cryptic warning... | https://stackoverflow.com/questions/78539937/computing-effective-sample-size-in-tensorflow-complex128-warning | python, numpy, tensorflow | 1,716,823,518 |
se_73383268 | stackoverflow | MACHINE_LEARNING | I am getting error like "Input 1 of layer "model_5" is incompatible with the layer: expected shape=(None, 224, 224, 3), found shape=(None, 5) | I am getting error like "Input 1 of layer "model_5" is incompatible with the layer: expected shape=(None, 224, 224, 3), found shape=(None, 5)
I am trying to fuse features of two image inputs of shape (299, 299, 3), (224, 224, 3) and am getting shape errors.
Here is my code
from tensorFlow.keras.app... | https://stackoverflow.com/questions/73383268/i-am-getting-error-like-input-1-of-layer-model-5-is-incompatible-with-the-lay | python, numpy, tensorflow, tensorflow2.0 | 1,660,714,127 |
se_73450382 | stackoverflow | MACHINE_LEARNING | Keras Functional replace intermediate layers | Keras Functional replace intermediate layers
I would like to replace BatchNorm layers with GroupNorm in built-in keras models, e.g. ResNet50.
I'm trying to reset nodes' layers to my new layer, however nothing changes when I query a model.summary().
import tensorflow as tf
import tensorflow_addons as tfa
from tensorflo... | https://stackoverflow.com/questions/73450382/keras-functional-replace-intermediate-layers | python, tensorflow, keras, deep-learning, neural-network | 1,661,198,114 |
se_79086878 | stackoverflow | MACHINE_LEARNING | Keras - Replace intermediate layer in Functional model | Keras - Replace intermediate layer in Functional model
I am trying to make a custom implementation of LoRA for Keras, and I am running into some trouble trying to get my approach to work. I am using Keras 3.4.1 inside Google Collab.
First, I have tried the solution explained in this Stack Overflow post and it works fo... | https://stackoverflow.com/questions/79086878/keras-replace-intermediate-layer-in-functional-model | python, tensorflow, keras | 1,728,921,508 |
se_79568997 | stackoverflow | MACHINE_LEARNING | Regression error with Python tensorflow keras | Regression error with Python tensorflow keras
could someone please help me to fix the following error :
[AttributeError: 'super' object has no attribute 'sklearn_tags']
based on my code :
from tensorflow import keras
from scikeras.wrappers import KerasRegressor
def build_model():
model = keras.Sequential([
... | https://stackoverflow.com/questions/79568997/regression-error-with-python-tensorflow-keras | python, tensorflow, keras, neural-network, regression | 1,744,379,519 |
se_79566606 | stackoverflow | MACHINE_LEARNING | Is there a reason that tensorflow is not working with Keras? | Is there a reason that tensorflow is not working with Keras?
import os
os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
import tensorflow as tf
from tensorflow.keras.layers import Conv1D, MaxPooling1D, GlobalAveragePooling1D, Dense, Dropout, BatchNormalization
from tensorflow.keras.models import Sequential
from tensorflow.ke... | https://stackoverflow.com/questions/79566606/is-there-a-reason-that-tensorflow-is-not-working-with-keras | python, python-3.x, tensorflow, visual-studio-code, keras | 1,744,287,052 |
se_79565121 | stackoverflow | MACHINE_LEARNING | TensorFlow `next()` hangs in infinite loop after `take(1)` | TensorFlow `next()` hangs in infinite loop after `take(1)`
When using TensorFlow's tf.data.Dataset.take(1) to get the first element of a dataset and then attempting to retrieve this element using iter() and next(), the next() call enters an infinite loop if the pandas library is imported before tensorflow.
This behavi... | https://stackoverflow.com/questions/79565121/tensorflow-next-hangs-in-infinite-loop-after-take1 | python, pandas, tensorflow | 1,744,224,468 |
se_79565611 | stackoverflow | MACHINE_LEARNING | Troubleshoot "Invalid input shape for input Tensor" | Troubleshoot "Invalid input shape for input Tensor"
I am trying to build a model with keras and tensorflow to play Go:
training_data = encode_from_file_info(training_files)
testing_data = encode_from_file_info(testing_files)
input_shape = (1, 19, 19)
model = Sequential(
[
... | https://stackoverflow.com/questions/79565611/troubleshoot-invalid-input-shape-for-input-tensor | python, tensorflow, keras | 1,744,250,416 |
se_78818728 | stackoverflow | MACHINE_LEARNING | ValueError: The layer sequential_22 has never been called and thus has no defined output | ValueError: The layer sequential_22 has never been called and thus has no defined output
I am trying to run a GradCAM that gives me the below error. I am confused as to why this is as Sequential is clearly being called. I have tried uninstalling tensorflow, restarting the kernel, and trying other environments. Any hel... | https://stackoverflow.com/questions/78818728/valueerror-the-layer-sequential-22-has-never-been-called-and-thus-has-no-define | tensorflow, keras | 1,722,472,994 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.