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 |
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se_79641403 | stackoverflow | MACHINE_LEARNING | Using evaluate library to evaluate BertScore only uses 1 busy GPU | Using evaluate library to evaluate BertScore only uses 1 busy GPU
I'm using evaluate library to evaluate the BertScore. Here are my codes:
import evaluate
bertscore = evaluate.load("bertscore")
bertscore_result = bertscore.compute(predictions=[sentence], references=references_sentence)
bertscore_avg = np.mean(bertscor... | https://stackoverflow.com/questions/79641403/using-evaluate-library-to-evaluate-bertscore-only-uses-1-busy-gpu | python, tensorflow, gpu, huggingface-evaluate | 1,748,397,198 |
se_79604384 | stackoverflow | MACHINE_LEARNING | memory leak in prediction tensorflow | memory leak in prediction tensorflow
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):
try:
tf.keras... | https://stackoverflow.com/questions/79604384/memory-leak-in-prediction-tensorflow | python, tensorflow, machine-learning | 1,746,249,425 |
se_79784032 | stackoverflow | MACHINE_LEARNING | Tensorflow gradient returns None | Tensorflow gradient returns None
I am being implementing a custom layer that returns both the transformed output and an auxiliary loss term. The forward pass works fine, but when I try to compute gradients, I get None for the main output while the auxiliary term has the proper gradients.
Code
import tensorflow as tf
... | https://stackoverflow.com/questions/79784032/tensorflow-gradient-returns-none | tensorflow, keras, tensorflow2.0 | 1,759,780,898 |
se_79781281 | stackoverflow | MACHINE_LEARNING | Unable to load an hdf5 model file in TensorFlow / Keras | Unable to load an hdf5 model file in TensorFlow / Keras
I was given an hdf5 model file that was build with tensorflow / keras. Training data is no more available.
Note: all Python code snippets shown hereunder are run against Python 3.9.23 inside a Dockerized Debian 13 (trixie) environment:
# python3
Python 3.9.23 (ma... | https://stackoverflow.com/questions/79781281/unable-to-load-an-hdf5-model-file-in-tensorflow-keras | python, tensorflow, keras, hdf5 | 1,759,437,357 |
se_79783791 | stackoverflow | MACHINE_LEARNING | TensorFlow 2.18.0 (conda-forge) fails on macOS with down_cast assertion in casts.h | TensorFlow 2.18.0 (conda-forge) fails on macOS with down_cast assertion in casts.h
For several months, I have encountered this issue but postponed a thorough investigation due to the complexity introduced by multiple intervening layers, such as Positron, Quarto, and Conda.
Recently, I successfully isolated and reprodu... | https://stackoverflow.com/questions/79783791/tensorflow-2-18-0-conda-forge-fails-on-macos-with-down-cast-assertion-in-casts | macos, tensorflow, conda, micromamba | 1,759,760,269 |
se_61616735 | stackoverflow | MACHINE_LEARNING | How to deal with school grades that are labelled '0' because of student grouping according to ability in a Neural Network? | How to deal with school grades that are labelled '0' because of student grouping according to ability in a Neural Network?
I'm binary classifying student performance at university with Keras and Tensorflow, amongst others, with two inputs 'Math_A' (high school grade in course Mathematics A) & 'Math_B' (high sc... | https://stackoverflow.com/questions/61616735/how-to-deal-with-school-grades-that-are-labelled-0-because-of-student-grouping | python, tensorflow, keras, neural-network, prediction | 1,588,692,284 |
se_73796400 | stackoverflow | MACHINE_LEARNING | Error: No module named 'tensorflow.keras' | Error: No module named 'tensorflow.keras'
I am writing the code for building extraction using deep learning but when I am trying to import the library files, it is showing the error "No module named 'tensorflow.keras'". I am unable to resolve it. Can anyone help?
import os
import cv2
import numpy as np
import ... | https://stackoverflow.com/questions/73796400/error-no-module-named-tensorflow-keras | python, tensorflow, keras | 1,663,742,723 |
se_43221730 | stackoverflow | MACHINE_LEARNING | Tensorflow same code but get different result from CPU device to GPU device | Tensorflow same code but get different result from CPU device to GPU device
I am trying to implement a program to test the Tensorflow performance on GPU device.
Data test is MNIST data, supervised training using Multilayer perceptron(Neural networks).
I followed this simple example but I change the number of performan... | https://stackoverflow.com/questions/43221730/tensorflow-same-code-but-get-different-result-from-cpu-device-to-gpu-device | python, tensorflow, gpu, cpu, multi-layer | 1,491,365,893 |
se_79203477 | stackoverflow | MACHINE_LEARNING | Pytorch in Azure Synapse causing problems | Pytorch in Azure Synapse causing problems
I have a notebook in Azure Synapse that is using these libraries
import pandas as pd
import numpy as np
from sqlalchemy import create_engine, text
import sqlalchemy as sa
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClie... | https://stackoverflow.com/questions/79203477/pytorch-in-azure-synapse-causing-problems | tensorflow, pytorch, azure-synapse, torch | 1,732,020,344 |
se_39460436 | stackoverflow | MACHINE_LEARNING | How to create TFRecords file from png images | How to create TFRecords file from png images
I'm just started working with TensorFlow a week ago, and I have some basic problems.
The major one is that I didn't find a way to create a TFRecords that contains all my data. I understood that this process is necessary in order to train my own network with few millions 32x... | https://stackoverflow.com/questions/39460436/how-to-create-tfrecords-file-from-png-images | database, tensorflow, deep-learning, convolution, tensorflow-serving | 1,473,725,206 |
se_56429967 | stackoverflow | MACHINE_LEARNING | How to find prediction probability in given CNN in tensor flow? | How to find prediction probability in given CNN in tensor flow?
I am very new to TensorFlow. Let us assume that I already have a trained convolutional neural network, now I give one new data to this CNN, and I want to see what's the prediction probability in each class. (e.g, the CNN is for handwriting 0-2, now I give... | https://stackoverflow.com/questions/56429967/how-to-find-prediction-probability-in-given-cnn-in-tensor-flow | python, tensorflow, deep-learning, conv-neural-network, prediction | 1,559,574,050 |
se_79468572 | stackoverflow | MACHINE_LEARNING | Register Keras neural network weights with GPflow kernel | Register Keras neural network weights with GPflow kernel
I am trying to implement a neural kernel function (attentive kernels). The kernel uses a neural network to predict mixture component weights.
Here's my init:
class AttentiveKernel(gpflow.kernels.Kernel):
def __init__(self,
lengthscales,
... | https://stackoverflow.com/questions/79468572/register-keras-neural-network-weights-with-gpflow-kernel | tensorflow, keras, gpflow | 1,740,545,849 |
se_79626546 | stackoverflow | MACHINE_LEARNING | Why does my LSTM model raise max_seq_length <= 0 when predicting with new input of same shape? | Why does my LSTM model raise max_seq_length <= 0 when predicting with new input of same shape?
I'm training a multi-branch LSTM model on Kaggle using 2x T4 GPUs, with multiple input sequences of different lengths. My target is the "close" column.
1. Normalization and Data:
I normalize my data with a custom Normaliz... | https://stackoverflow.com/questions/79626546/why-does-my-lstm-model-raise-max-seq-length-0-when-predicting-with-new-input | python, tensorflow, lstm, kaggle | 1,747,486,151 |
se_79411707 | stackoverflow | MACHINE_LEARNING | Why is Hello Magenta Colab failing with 'metadata-generation-failed' error? | Why is Hello Magenta Colab failing with 'metadata-generation-failed' error?
I'm currently trying out to use the Magenta (music generation) library using python, starting from the official 'Hello Magenta' colab notebook (https://colab.research.google.com/notebooks/magenta/hello_magenta/hello_magenta.ipynb). How... | https://stackoverflow.com/questions/79411707/why-is-hello-magenta-colab-failing-with-metadata-generation-failed-error | python, tensorflow, pip, google-colaboratory, magenta | 1,738,672,392 |
se_79776800 | stackoverflow | MACHINE_LEARNING | Mask image in tensorflow | Mask image in tensorflow
Can I use keras.Layers to build custom layer to mask to whole dataset and return masked dataset. That is
class AttnMask(Layer):
def __init__(self, img_size, attention_map):
super().__init__()
self.imgSize = img_size
self.attentionMap = attention_map
def call(s... | https://stackoverflow.com/questions/79776800/mask-image-in-tensorflow | python, tensorflow, keras | 1,758,980,703 |
se_79776858 | stackoverflow | MACHINE_LEARNING | Multimodel for image captioning with CNN and LSTM over flickr30k does not learn. How to fuse image features and word embeddings? | Multimodel for image captioning with CNN and LSTM over flickr30k does not learn. How to fuse image features and word embeddings?
I'm working on an image captioning project using a simple CNN + LSTM architecture, as required by the course I'm studying. The full code is available here on GitHub (note: some parts are mem... | https://stackoverflow.com/questions/79776858/multimodel-for-image-captioning-with-cnn-and-lstm-over-flickr30k-does-not-learn | python, tensorflow, keras, deep-learning, lstm | 1,758,987,253 |
se_79775875 | stackoverflow | MACHINE_LEARNING | How to install a compatible version of TensorFlow Federated on Google Colab (Python 3.12 + TensorFlow 2.19)? | How to install a compatible version of TensorFlow Federated on Google Colab (Python 3.12 + TensorFlow 2.19)?
I am using Google Colab, which comes with:
Python 3.12.11
TensorFlow 2.19.0
When I try:
!pip uninstall -y numpy jax jaxlib
!pip install tensorflow_federated
Pip starts backtracking and tries to install very ol... | https://stackoverflow.com/questions/79775875/how-to-install-a-compatible-version-of-tensorflow-federated-on-google-colab-pyt | tensorflow, pip, google-colaboratory, tensorflow-federated, python-3.12 | 1,758,887,249 |
se_77972546 | stackoverflow | MACHINE_LEARNING | pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000 | pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000
I encountered the error
ResolutionTooDeep: 200000
when attempting to install TensorFlow Extended (TFX) on Ubuntu 22.04 using the command pip install tfx
Error Picture Install tfx
I tried installing TFX using the pip command mentioned above. I expected the in... | https://stackoverflow.com/questions/77972546/pip-vendor-resolvelib-resolvers-resolutiontoodeep-200000 | python, tensorflow, pip, tfx | 1,707,558,721 |
se_79774394 | stackoverflow | MACHINE_LEARNING | Can I visualize a neural network’s loss landscape to see if it’s stuck in a bad minimum? Any code example for this? | Can I visualize a neural network’s loss landscape to see if it’s stuck in a bad minimum? Any code example for this?
So, I’m trying to understand why sometimes neural networks get stuck during training. I heard people talk about ‘local minima’ and ‘saddle points,’ but I can’t really picture them. I want to actually see... | https://stackoverflow.com/questions/79774394/can-i-visualize-a-neural-network-s-loss-landscape-to-see-if-it-s-stuck-in-a-bad | python, tensorflow, machine-learning, deep-learning, neural-network | 1,758,778,581 |
se_78322183 | stackoverflow | MACHINE_LEARNING | Got trouble during on building Mediapipe Example "hand_tracking_cpu" | Got trouble during on building Mediapipe Example "hand_tracking_cpu"
I'm doing project with Mediapipe, and i successed install and built "hello_wolrd". But, I got trouble during on building "hand_tracking_cpu" like this:
참고: 포함 파일: external/org_tensorflow\tensorflow/lite/util.h
참고: 포함 파일: external/org_tenso... | https://stackoverflow.com/questions/78322183/got-trouble-during-on-building-mediapipe-example-hand-tracking-cpu | python, tensorflow, bazel, tensorflow-lite, mediapipe | 1,713,046,608 |
se_68474451 | stackoverflow | MACHINE_LEARNING | Custom Training Loop for Tensorflow Variational Autoencoder: `tape.gradient(loss, decoder_model.trainable_weights)` Always Returns List Full of None's | Custom Training Loop for Tensorflow Variational Autoencoder: `tape.gradient(loss, decoder_model.trainable_weights)` Always Returns List Full of None's
I am trying to write a custom training loop for a variational autoencoder (VAE) that consists of two separate tf.keras.Model objects. The objective of this VAE is m... | https://stackoverflow.com/questions/68474451/custom-training-loop-for-tensorflow-variational-autoencoder-tape-gradientloss | tensorflow, machine-learning, autoencoder, gradienttape, custom-training | 1,626,890,580 |
se_79759086 | stackoverflow | MACHINE_LEARNING | n_jobs>=2 breaks reproducibility | n_jobs>=2 breaks reproducibility
I am facing a problem in maintaining the reproducibility in the ML project. I believe the core snippet of my issue is
clf = Clf(random_state=cfg.seed)
# instantiate the K-fold cross-validation object
cv = StratifiedKFold(
n_splits=cfg.train.n_folds,
shuffle=T... | https://stackoverflow.com/questions/79759086/n-jobs-2-breaks-reproducibility | python, tensorflow, machine-learning, scikit-learn, random-seed | 1,757,345,007 |
se_79727623 | stackoverflow | MACHINE_LEARNING | TensorFlow/Keras model accumulates system and GPU RAM during training | TensorFlow/Keras model accumulates system and GPU RAM during training
I am training a model using TensorFlow/Keras using TensorFlow 2.19.0/Keras 3.10.0. During training, I monitor nvidia-smi and top, and the system RAM and the GPU RAM increase during the training period. Eventually, one or the other runs out of RAM an... | https://stackoverflow.com/questions/79727623/tensorflow-keras-model-accumulates-system-and-gpu-ram-during-training | numpy, tensorflow, keras, neural-network | 1,754,499,957 |
se_79768360 | stackoverflow | MACHINE_LEARNING | How do I convert TensorFlow SavedModel into TensorFlow.js format? | How do I convert TensorFlow SavedModel into TensorFlow.js format?
I’m trying to convert my TensorFlow SavedModel into a TensorFlow.js format using tensorflowjs_converter.
tensorflowjs_converter --input_format=tf_saved_model --output_format=tfjs_graph_model --saved_model_tags=serve --strip_debug_ops SavedModel TFJS
2... | https://stackoverflow.com/questions/79768360/how-do-i-convert-tensorflow-savedmodel-into-tensorflow-js-format | python, tensorflow, machine-learning, tensorflow.js, tensorflowjs-converter | 1,758,194,802 |
se_79357798 | stackoverflow | MACHINE_LEARNING | Google colab crashes for unknown reason when using TPU | Google colab crashes for unknown reason when using TPU
I'm using the free version of Colab to train a small CNN for a regression task using audio data. The input pipeline consists of loading the audio using librosa, normalising the audio, cutting the audio into frames (this is important for the error), and then extrac... | https://stackoverflow.com/questions/79357798/google-colab-crashes-for-unknown-reason-when-using-tpu | tensorflow, jupyter-notebook, google-colaboratory, tpu | 1,736,935,972 |
se_50473617 | stackoverflow | MACHINE_LEARNING | How to authorize colab with Github? | How to authorize colab with Github?
When selecting option on Google colab "Save a copy on Github" I receive message :
From reading https://medium.com/tensorflow/colab-an-easy-way-to-learn-and-use-tensorflow-d74d1686e309 this option should be available ?
Should another an Github authorization link appear as part ... | https://stackoverflow.com/questions/50473617/how-to-authorize-colab-with-github | github, tensorflow, google-colaboratory | 1,527,010,969 |
se_64968807 | stackoverflow | MACHINE_LEARNING | Why is a Keras custom metric not called after each epoch? | Why is a Keras custom metric not called after each epoch?
I'm using tensorflow 2.1 and tf.keras, and whether adding a custom Metric as a simple function or Metric subclassed instance, during training the custom metric appears only be called at the start of training and not after each epoch as I was expecting. The star... | https://stackoverflow.com/questions/64968807/why-is-a-keras-custom-metric-not-called-after-each-epoch | tensorflow, keras | 1,606,135,966 |
se_79765773 | stackoverflow | MACHINE_LEARNING | Tensorflow lite sample code does not work from the tutorials | Tensorflow lite sample code does not work from the tutorials
https://ai.google.dev/edge/litert/models/signatures#java
I have the model generated, I have the model loaded. I verified this because I can see the signatures that are available:
I don't know what the encoded_result and decoded_result variables should be. C... | https://stackoverflow.com/questions/79765773/tensorflow-lite-sample-code-does-not-work-from-the-tutorials | python, kotlin, tensorflow, tensorflow-lite | 1,757,995,705 |
se_65701317 | stackoverflow | MACHINE_LEARNING | How to visualise and choose parameters spectrogram tensorflow | How to visualise and choose parameters spectrogram tensorflow
I have audio of 3 min duration ,I have Waveform shape: (2880000,) so what should be the value for frame_length and frame_step
spectrogram = tf.signal.stft(waveform, frame_length=?, frame_step=?)
spectrogram = tf.abs(spectrogram)
On choosing frame_length=... | https://stackoverflow.com/questions/65701317/how-to-visualise-and-choose-parameters-spectrogram-tensorflow | python, tensorflow, machine-learning, data-science, tensorflow2.0 | 1,610,538,305 |
se_69031604 | stackoverflow | MACHINE_LEARNING | Tensorflow running out of GPU memory: Allocator (GPU_0_bfc) ran out of memory trying to allocate | Tensorflow running out of GPU memory: Allocator (GPU_0_bfc) ran out of memory trying to allocate
I am fairly new to Tensorflow and I am having trouble with Dataset. I work on Windows 10, and the Tensorflow version is 2.6.0 used with CUDA.
I have 2 numpy arrays that are X_train and X_test (already split). The train is ... | https://stackoverflow.com/questions/69031604/tensorflow-running-out-of-gpu-memory-allocator-gpu-0-bfc-ran-out-of-memory-tr | python, tensorflow, tensorflow2.0, tensorflow-datasets | 1,630,590,554 |
se_66083545 | stackoverflow | MACHINE_LEARNING | Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found | Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found
Using tensorflow 2.4.1
When I run my program, I'm getting this error and can't use my gpu.
I'm using CUDA 11.0, cudnn 8.0
2021-02-07 03:36:18.132005: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully ope... | https://stackoverflow.com/questions/66083545/could-not-load-dynamic-library-cudnn64-8-dll-dlerror-cudnn64-8-dll-not-found | python, tensorflow | 1,612,659,452 |
se_79764132 | stackoverflow | MACHINE_LEARNING | How to replace tf.placeholder in TensorFlow 2.x? | How to replace tf.placeholder in TensorFlow 2.x?
I’m learning TensorFlow 2.x and I have some code from TF 1.x:
X = tf.placeholder(tf.float32, shape=[None, 784])
Y = tf.placeholder(tf.float32, shape=[None, 10])
When I run this in TF 2.x, I get:
AttributeError: module 'tensorflow' has no attribute 'placeholder'
I unde... | https://stackoverflow.com/questions/79764132/how-to-replace-tf-placeholder-in-tensorflow-2-x | tensorflow, tensorflow2.0 | 1,757,832,946 |
se_79760189 | stackoverflow | MACHINE_LEARNING | Why isn't my keras model throwing and error when different sizes are passed to the dense layer? | Why isn't my keras model throwing and error when different sizes are passed to the dense layer?
I am working on a dynamic time series multi-class segmentation problem with keras (tensorflow version 2.12.0), and I wanted to see what would happen when I dropped in a dense layer into the network architecture. My expe... | https://stackoverflow.com/questions/79760189/why-isnt-my-keras-model-throwing-and-error-when-different-sizes-are-passed-to-t | python, tensorflow, machine-learning, keras, deep-learning | 1,757,443,996 |
se_53949880 | stackoverflow | MACHINE_LEARNING | Jointly training custom model with Tensorflow Object Detection API | Jointly training custom model with Tensorflow Object Detection API
I am trying to use Tensorflow object detection API models in another custom model I built (in the same codebase). Specifically, I am trying to figure out how below can be handled (mutually exclusive points):
jointly train Tensorflow object detection ... | https://stackoverflow.com/questions/53949880/jointly-training-custom-model-with-tensorflow-object-detection-api | python, tensorflow, machine-learning, deep-learning, computer-vision | 1,545,938,657 |
se_77351982 | stackoverflow | MACHINE_LEARNING | Why is this code returning an error about the shape of neural network? | Why is this code returning an error about the shape of neural network?
When I tried running this code:-
import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
dataset = pd.read_csv ("/content/dataset/cancer.csv")
x = dataset.drop(columns = ["diagnosis(1=m, 0=b)"])
y = dataset[... | https://stackoverflow.com/questions/77351982/why-is-this-code-returning-an-error-about-the-shape-of-neural-network | python, tensorflow, neural-network, artificial-intelligence | 1,698,149,878 |
se_79756715 | stackoverflow | MACHINE_LEARNING | Firebase Remote Model Downloader not working in android studio | Firebase Remote Model Downloader not working in android studio
I am following this firebaseML guide from Google, but I was not able to import my firebase custom text classifier model into my android studio. I don't understand why since my model is only 12.5 mb.
here is the code:
Interpreter interpreter;
private volati... | https://stackoverflow.com/questions/79756715/firebase-remote-model-downloader-not-working-in-android-studio | java, android, firebase, tensorflow, firebase-machine-learning | 1,757,070,223 |
se_79755062 | stackoverflow | MACHINE_LEARNING | Best method to create generator for TensorFlow with list of array inputs | Best method to create generator for TensorFlow with list of array inputs
I am using TensorFlow/Keras to create a deep learning model. The network is built as follows:
inps = []
features = []
for i in range(number_windows):
inp = Input(shape=(window_length,), name=f"input_{i}")
inps.append(inp)
feat = ... | https://stackoverflow.com/questions/79755062/best-method-to-create-generator-for-tensorflow-with-list-of-array-inputs | python, tensorflow, keras, dataloader | 1,756,931,393 |
se_79754606 | stackoverflow | MACHINE_LEARNING | TensorFlow data loader from generator error "Dataset had more than one element" | TensorFlow data loader from generator error "Dataset had more than one element"
I am trying to implement a TensorFlow dataset from a Python generator because I am having problems with my model consuming memory, inevitably resulting in a OOM crash (see my question on that here). So, I am thinking that a gener... | https://stackoverflow.com/questions/79754606/tensorflow-data-loader-from-generator-error-dataset-had-more-than-one-element | python, tensorflow, keras, dataloader | 1,756,903,239 |
se_78365586 | stackoverflow | MACHINE_LEARNING | AttributeError: module 'tree' has no attribute 'flatten' while loading Keras model in Flask app (TensorFlow 2) | AttributeError: module 'tree' has no attribute 'flatten' while loading Keras model in Flask app (TensorFlow 2)
I'm encountering an
AttributeError: module 'tree' has no attribute 'flatten'
when trying to load a Keras model in my Flask application. I'm using TensorFlow 2 (version: [12.16.1]), and the c... | https://stackoverflow.com/questions/78365586/attributeerror-module-tree-has-no-attribute-flatten-while-loading-keras-mod | python, tensorflow, flask, keras | 1,713,782,166 |
se_65740979 | stackoverflow | MACHINE_LEARNING | How does argmax work when given a 3d tensor - tensorflow | How does argmax work when given a 3d tensor - tensorflow
I was wondering how does argmax work when given a 3D tensor. I know what happens when it has a 2D tesnor but 3D is confusing me a lot.
Example:
import tensorflow as tf
import numpy as np
sess = tf.Session()
coordinates = np.random.randint(0, 100, size=(3, 3, 2... | https://stackoverflow.com/questions/65740979/how-does-argmax-work-when-given-a-3d-tensor-tensorflow | python, numpy, tensorflow, argmax | 1,610,732,474 |
se_45040400 | stackoverflow | MACHINE_LEARNING | Why using Anaconda environments to install tensorflow on Windows? | Why using Anaconda environments to install tensorflow on Windows?
In tensorflow installation guide it is said, that I should use "environment" to install tensorflow: https://www.tensorflow.org/install/install_windows#installing_with_anaconda
Why? Can't I just install with pip?
If installed with environment, should ... | https://stackoverflow.com/questions/45040400/why-using-anaconda-environments-to-install-tensorflow-on-windows | python, windows, tensorflow, pip, anaconda | 1,499,791,782 |
se_44483233 | stackoverflow | MACHINE_LEARNING | Is using batch size as 'powers of 2' faster on tensorflow? | Is using batch size as 'powers of 2' faster on tensorflow?
I read from somewhere that if you choose a batch size that is a power 2, training will be faster. What is this rule? Is this applicable to other applications? Can you provide a reference paper? | https://stackoverflow.com/questions/44483233/is-using-batch-size-as-powers-of-2-faster-on-tensorflow | tensorflow, machine-learning, deep-learning, batchsize | 1,497,179,856 |
se_79375672 | stackoverflow | MACHINE_LEARNING | Does keras/TF support non-time-step masking? | Does keras/TF support non-time-step masking?
Masking is a very broad term which normally means ignore part of.
However, the docs on masking describe it as:
Masking is a way to tell sequence-processing layers that certain timesteps in an input are missing, and thus should be skipped when processing the data.
It seems... | https://stackoverflow.com/questions/79375672/does-keras-tf-support-non-time-step-masking | tensorflow, keras, tensorflow2.0, tf.keras | 1,737,486,215 |
se_53643252 | stackoverflow | MACHINE_LEARNING | Is it possible to save the class/label mapping directly inside a keras model.h5 file? | Is it possible to save the class/label mapping directly inside a keras model.h5 file?
Using model.save() I am able to save the trained model. However, upon using the model for predictions, I still need to recover the respective class/label mappings (0: 'cat', 1: 'dog' ... etc.). Currently I am saving the .class_indice... | https://stackoverflow.com/questions/53643252/is-it-possible-to-save-the-class-label-mapping-directly-inside-a-keras-model-h5 | python, tensorflow, keras | 1,544,059,341 |
se_78543578 | stackoverflow | MACHINE_LEARNING | ImportError: cannot import name 'LSTM' from 'tensorflow.python.keras.layers' | ImportError: cannot import name 'LSTM' from 'tensorflow.python.keras.layers'
I am trying to build a ML model with LSTM. I want to import the 'LSTM' layer. However, my code does not lead to correct results. The error forces me to use 'LSTMV1' instead. But, I want to use 'LSTM'.
I tried this, and this di... | https://stackoverflow.com/questions/78543578/importerror-cannot-import-name-lstm-from-tensorflow-python-keras-layers | tensorflow, lstm | 1,716,892,888 |
se_54721703 | stackoverflow | MACHINE_LEARNING | ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' (While installing TensorFlow) | ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' (While installing TensorFlow)
I am following this tutorial to install TensorFlow(https://www.tensorflow.org/install/pip), but in the last command:
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_... | https://stackoverflow.com/questions/54721703/modulenotfounderror-no-module-named-numpy-core-multiarray-umath-while-insta | python, numpy, tensorflow, installation, windows-10 | 1,550,309,643 |
se_79747243 | stackoverflow | MACHINE_LEARNING | KFold cross-validation in Keras: model not resetting between folds (MobileNet backbone) | KFold cross-validation in Keras: model not resetting between folds (MobileNet backbone)
I am trying to perform KFold cross-validation on a Keras model. The first fold runs exactly as expected, but from the second fold onwards the model doesn’t seem to reset. The training behaves strangely, as if the weights from the p... | https://stackoverflow.com/questions/79747243/kfold-cross-validation-in-keras-model-not-resetting-between-folds-mobilenet-ba | python, tensorflow, keras, deep-learning, neural-network | 1,756,236,458 |
se_69115621 | stackoverflow | MACHINE_LEARNING | CUDA_ERROR_NOT_INITIALIZED on A100 after server reset | CUDA_ERROR_NOT_INITIALIZED on A100 after server reset
I'm running on a server with a A100 GPU. When trying to run tensorflow code after a server reset, tensorflow does not recognize the GPU. Running tf.config.list_physical_devices('GPU') yields CUDA_ERROR_NOT_INITIALIZED:
2021-09-09 07:41:42.956917: I tensorflow/strea... | https://stackoverflow.com/questions/69115621/cuda-error-not-initialized-on-a100-after-server-reset | tensorflow, cuda, gpu, nvidia | 1,631,179,665 |
se_79745664 | stackoverflow | MACHINE_LEARNING | Layer "dense" expects 1 input(s), but it received 2 input tensors | Layer "dense" expects 1 input(s), but it received 2 input tensors
Environment
Raspberry Pi 4: 8 GB RAM
Relevant Dependencies:
keras 3.11.3
numpy 1.26.4
opencv-python 4.12.0.88
pillow 11.3.0
tensorflow 2.20.0
Issue
Trained MobileNetV... | https://stackoverflow.com/questions/79745664/layer-dense-expects-1-inputs-but-it-received-2-input-tensors | tensorflow, deep-learning, raspberry-pi, valueerror | 1,756,120,182 |
se_79744026 | stackoverflow | MACHINE_LEARNING | Ram Memory leak when scripting a Sampling Trainer for a Bert Encoder and LSTM Decoder Tensorflow on GPU | Ram Memory leak when scripting a Sampling Trainer for a Bert Encoder and LSTM Decoder Tensorflow on GPU
I wrote the module attached below. However, I notice a constant increase of RAM until I get an out of memory error. The code runs on CPU without a problem (except the slow training time). It can finish the first tra... | https://stackoverflow.com/questions/79744026/ram-memory-leak-when-scripting-a-sampling-trainer-for-a-bert-encoder-and-lstm-de | python, python-3.x, tensorflow, deep-learning, lstm | 1,755,927,646 |
se_79465820 | stackoverflow | MACHINE_LEARNING | Select TensorFlow op(s), included in the given model, is(are) not supported by this interpreter. when trying load the model in flutter | Select TensorFlow op(s), included in the given model, is(are) not supported by this interpreter. when trying load the model in flutter
getting this error while trying to load a tf model I converted to tflite so I can use it in my app
I did what the message suggests and added the org.tensorflow:tensorflow-lite-select-t... | https://stackoverflow.com/questions/79465820/select-tensorflow-ops-included-in-the-given-model-isare-not-supported-by-t | flutter, tensorflow, tensorflow-lite | 1,740,471,009 |
se_79744362 | stackoverflow | MACHINE_LEARNING | import tensorflow statement crashes or hangs on macOS | import tensorflow statement crashes or hangs on macOS
I have the following Python statement, which I cannot execute in Jupyter Notebook or Python REPL:
import tensorflow
Python 3.11.10 (main, Sep 20 2024, 14:23:57) [Clang 16.0.0 (clang-1600.0.26.3)] on darwin
Type "help", "copyright", "credits" or "license" for more ... | https://stackoverflow.com/questions/79744362/import-tensorflow-statement-crashes-or-hangs-on-macos | python, tensorflow, pyarrow | 1,755,962,194 |
se_79743297 | stackoverflow | MACHINE_LEARNING | Why am I getting ModuleNotFoundError: No module named 'numpy._utils' when importing scikit-learn or TensorFlow on Python 3.12? | Why am I getting ModuleNotFoundError: No module named 'numpy._utils' when importing scikit-learn or TensorFlow on Python 3.12?
I’m trying to run Python scripts that import scikit-learn and TensorFlow, but I keep running into a NumPy-related error.
code example:
from packaging import version
import sklearn
as... | https://stackoverflow.com/questions/79743297/why-am-i-getting-modulenotfounderror-no-module-named-numpy-utils-when-import | numpy, tensorflow, scikit-learn | 1,755,859,320 |
se_65780506 | stackoverflow | MACHINE_LEARNING | How to enable AVX / AVX2 in VirtualBox with Ubuntu | How to enable AVX / AVX2 in VirtualBox with Ubuntu
TL;DR:
Tensorflow 1.15 crashes on my virtual machine when imported by Python (error message is Illegal instruction (core dumped)), very probably thanks to AVX and AVX2 being disabled on it.
My host machine (Windows 10 64bit) has AVX and AVX2 (validated using Cygwin, ... | https://stackoverflow.com/questions/65780506/how-to-enable-avx-avx2-in-virtualbox-with-ubuntu | tensorflow, virtual-machine, virtualbox, avx, avx2 | 1,610,996,199 |
se_79743671 | stackoverflow | MACHINE_LEARNING | Python TensorFlow Speech Recognition -1073741819 (0xC0000005) Error | Python TensorFlow Speech Recognition -1073741819 (0xC0000005) Error
I'm working on a speech recognition project using TensorFlow in Python. Normally, TensorFlow can only be used with a CPU or an NVIDIA GPU. I have an AMD Radeon 7600S GPU. Because of this, I installed the tensorflow-directml-plugin developed by Microso... | https://stackoverflow.com/questions/79743671/python-tensorflow-speech-recognition-1073741819-0xc0000005-error | python, python-3.x, tensorflow, artificial-intelligence, speech-recognition | 1,755,882,240 |
se_79552668 | stackoverflow | MACHINE_LEARNING | Tensorflow runs out of range during fitting: Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence | Tensorflow runs out of range during fitting: Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence
I have a dataset containing semantic vectors of length 384. I group them to windows each containing a 100. I batch them to batch sizes of 32. However, I get an error when fitting the model. I feel like ... | https://stackoverflow.com/questions/79552668/tensorflow-runs-out-of-range-during-fitting-local-rendezvous-is-aborting-with-s | python, tensorflow, keras, tf.keras | 1,743,676,109 |
se_79637640 | stackoverflow | MACHINE_LEARNING | Tensorflow Lite (LiteRn) Deployment in Android using Kotlin, Error 'FULLY_CONNECTED' version '12' not found | Tensorflow Lite (LiteRn) Deployment in Android using Kotlin, Error 'FULLY_CONNECTED' version '12' not found
I am trying to integrate deep learning model to my android application. But I am getting stuck on running the model in my application.
I have created a model that uses tensorflow for detecting th... | https://stackoverflow.com/questions/79637640/tensorflow-lite-litern-deployment-in-android-using-kotlin-error-fully-connec | python, android, kotlin, tensorflow, tensorflow-lite | 1,748,174,477 |
se_65271399 | stackoverflow | MACHINE_LEARNING | VS Code / Pylance / Pylint Cannot resolve import | VS Code / Pylance / Pylint Cannot resolve import
The Summary
I have a python import that works when run from the VS Code terminal, but that VS Code's editor is giving warnings about. Also, "Go to Definition" doesn't work.
The Problem
I have created a docker container from the image tensorflow/tensorflow:1.15.2-py3, th... | https://stackoverflow.com/questions/65271399/vs-code-pylance-pylint-cannot-resolve-import | python, tensorflow, visual-studio-code, pylint, pylance | 1,607,820,680 |
se_79431023 | stackoverflow | MACHINE_LEARNING | Tracing CustomMaskWarning to its source | Tracing CustomMaskWarning to its source
I am working with old TensorFlow (2.7) and Java Tensorflow but the answer may still help others tracing similar issues. My model produces the error when saved to the 2.7 save() format:
CustomMaskWarning: Custom mask layers require a config and must override get_config. When load... | https://stackoverflow.com/questions/79431023/tracing-custommaskwarning-to-its-source | python, java, tensorflow | 1,739,299,267 |
se_64875304 | stackoverflow | MACHINE_LEARNING | Why is Tensorflow 2.2 taking a long time to start? | Why is Tensorflow 2.2 taking a long time to start?
I am trying to run Tensorflow on windows 10 with the following setup:
Anaconda3 with
Python 3.8
Tensorflow 2.2.0
GPU: RTX3090
cuda_10.1.243
cudnn-v7.6.5.32 for windows10-x64
Running the following code takes between 5 ~ 10 minutes to print the output.
import te... | https://stackoverflow.com/questions/64875304/why-is-tensorflow-2-2-taking-a-long-time-to-start | tensorflow, tensorflow2.0, tensorflow2 | 1,605,616,101 |
se_70028946 | stackoverflow | MACHINE_LEARNING | How is the input_matrix * weight_matrix + bias_vector possible in tensorflow? | How is the input_matrix * weight_matrix + bias_vector possible in tensorflow?
Given an N x M input matrix X, an M x U weight matrix W, and a bias vector b of length U,
how is the affine transformation XW + b possible? If the result R of the matrix multiplication is of shape N x U, how is the bias vector b added to to ... | https://stackoverflow.com/questions/70028946/how-is-the-input-matrix-weight-matrix-bias-vector-possible-in-tensorflow | python, tensorflow, linear-algebra | 1,637,287,237 |
se_79427474 | stackoverflow | MACHINE_LEARNING | TensorFlow Model Training High Loss Rate | TensorFlow Model Training High Loss Rate
I am creating a very simple algorithm for TensorFlow for training for the equation X^3 + Y^2. But for some reason when I train TensorFlow model is comes with extremely high loss rate. I am not sure what I am doing wrong and why the loss is so high.
import tensorflow as tf
from ... | https://stackoverflow.com/questions/79427474/tensorflow-model-training-high-loss-rate | tensorflow | 1,739,199,659 |
se_79740448 | stackoverflow | MACHINE_LEARNING | How to calculate the jacobian of a tensorflow NN model w.r.t. the trainable variables and store it as a matrix | How to calculate the jacobian of a tensorflow NN model w.r.t. the trainable variables and store it as a matrix
Salve amici!
I need to evaluate the derivative of an objective function in an external optimization scheme. Part of the model is constructed using NN, thus, through the chain rule, I have a bit of the derivat... | https://stackoverflow.com/questions/79740448/how-to-calculate-the-jacobian-of-a-tensorflow-nn-model-w-r-t-the-trainable-vari | tensorflow | 1,755,641,487 |
se_66874100 | stackoverflow | MACHINE_LEARNING | What is the logic of the extra columns in Tensorflow categorical encoding? | What is the logic of the extra columns in Tensorflow categorical encoding?
I am following the official Tensorflow tutorial for preprocessing layers, and I am not sure I get why I end up getting these extra columns after the categorical encoding. [UPDATE 2024: the default behavior has now changed, so the current tutori... | https://stackoverflow.com/questions/66874100/what-is-the-logic-of-the-extra-columns-in-tensorflow-categorical-encoding | tensorflow, keras | 1,617,118,830 |
se_77743390 | stackoverflow | MACHINE_LEARNING | How to load a dataset(.npz) locally in tensorflow? | How to load a dataset(.npz) locally in tensorflow?
I'm working on a handwritten didgits recognition project. I need to load the data from mnist dataset. My problem is that I can't use the load_data() function because when it starts downloading the dataset, it returns an error:
URL fetch failure on https://storage.goog... | https://stackoverflow.com/questions/77743390/how-to-load-a-dataset-npz-locally-in-tensorflow | python, tensorflow, artificial-intelligence | 1,704,143,918 |
se_75305082 | stackoverflow | MACHINE_LEARNING | Tensorflow dataset crashing VsCode | Tensorflow dataset crashing VsCode
So I'm trying to make a simple image classifier using a CNN and an already labeled data set called "places 365". However, whenever I run model.fit() my RAM usage maxes out and VS Code crashes or I restart the kernel.
In the past, I have gotten model.fit() to work just fine when I imp... | https://stackoverflow.com/questions/75305082/tensorflow-dataset-crashing-vscode | python, numpy, tensorflow | 1,675,218,535 |
se_79736231 | stackoverflow | MACHINE_LEARNING | How do I format my a tensorflow dataset for a multi output model? | How do I format my a tensorflow dataset for a multi output model?
I have an image dataset where each image has multiple categorical features that I want to predict. I am getting this error when trying to train:
ValueError: y_true and y_pred have different structures.
y_true: *
y_pred: ['*', '*', '*', '*']
Here's is m... | https://stackoverflow.com/questions/79736231/how-do-i-format-my-a-tensorflow-dataset-for-a-multi-output-model | python, tensorflow, machine-learning, keras, deep-learning | 1,755,246,327 |
se_79653092 | stackoverflow | MACHINE_LEARNING | CNN Constant Predictions | CNN Constant Predictions
I’m building a Keras model based on MobileNetV2 for frame-level prediction of 6 human competencies. Each output head represents a competency and is a softmax over 100 classes (scores 0–99). The model takes in 224x224 RGB frames, normalized to [-1, 1] (compatible with MobileNetV2 preprocessing)... | https://stackoverflow.com/questions/79653092/cnn-constant-predictions | python, tensorflow, machine-learning, deep-learning, conv-neural-network | 1,749,051,612 |
se_70530259 | stackoverflow | MACHINE_LEARNING | InvalidArgumentError: Must have updates.shape = indices.shape + params.shape[1:] or updates.shape = [] in TF-Agents | InvalidArgumentError: Must have updates.shape = indices.shape + params.shape[1:] or updates.shape = [] in TF-Agents
I have a problem with this simple code.
I am looking for an experience replay code that is compatible with graph operations and TF Functions.
import tensorflow as tf
import numpy as np
!pip ... | https://stackoverflow.com/questions/70530259/invalidargumenterror-must-have-updates-shape-indices-shape-params-shape1 | python, tensorflow, reinforcement-learning, tf-agent | 1,640,859,557 |
se_79727860 | stackoverflow | MACHINE_LEARNING | how to solve ValueError: Failed to construct dataset "imdb_reviews"? | how to solve ValueError: Failed to construct dataset "imdb_reviews"?
ValueError: Failed to construct dataset "imdb_reviews",
builder_kwargs "{'config': 'subwords8k', 'data_dir': None}":
BuilderConfig subwords8k not found with version None.
Here are 10 BuilderConfigs whose name closely match:
I've got thi... | https://stackoverflow.com/questions/79727860/how-to-solve-valueerror-failed-to-construct-dataset-imdb-reviews | python, tensorflow, machine-learning, nlp, artificial-intelligence | 1,754,514,942 |
se_68614547 | stackoverflow | MACHINE_LEARNING | TensorFlow libdevice not found. Why is it not found in the searched path? | TensorFlow libdevice not found. Why is it not found in the searched path?
Win 10 64-bit 21H1; TF2.5, CUDA 11 installed in environment (Python 3.9.5 Xeus)
I am not the only one seeing this error; see also (unanswered) here and here.
The issue is obscure and the proposed resolutions are unclear/don't seem to work (see e... | https://stackoverflow.com/questions/68614547/tensorflow-libdevice-not-found-why-is-it-not-found-in-the-searched-path | python, tensorflow, configuration | 1,627,853,847 |
se_41017346 | stackoverflow | MACHINE_LEARNING | In tensorflow MNIST beginner tutorial, how to actually use the results | In tensorflow MNIST beginner tutorial, how to actually use the results
I'm following the next tutorial:
https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/index.html
The problem is that I have not found any information on how to actually use this piece of code. The normal thing a newbie in the area... | https://stackoverflow.com/questions/41017346/in-tensorflow-mnist-beginner-tutorial-how-to-actually-use-the-results | python, tensorflow | 1,481,113,190 |
se_54878105 | stackoverflow | MACHINE_LEARNING | TensorFlow Keras Optimise prediction | TensorFlow Keras Optimise prediction
I'm using TensorFlow and Keras to predict handwriting digits. For training, I'm using the MNIST dataset.
The accuracy is about 98.8% after training, but sometimes in testing it gets confused between 4 and 9, and also between 7 and 3. I already optimized the image input with OpenCV,... | https://stackoverflow.com/questions/54878105/tensorflow-keras-optimise-prediction | tensorflow, keras | 1,551,152,250 |
se_45861547 | stackoverflow | MACHINE_LEARNING | neural network - Predict MNIST digits only with one neuron in the output layer | neural network - Predict MNIST digits only with one neuron in the output layer
Is it possible to create a neural network where we have one neuron in the output layer which can directly predict digit from MNIST dataset after training? e.g., if we give digit 3 as input, the output layer neuron should give output value c... | https://stackoverflow.com/questions/45861547/neural-network-predict-mnist-digits-only-with-one-neuron-in-the-output-layer | tensorflow, neural-network, mnist | 1,503,577,346 |
se_48443886 | stackoverflow | MACHINE_LEARNING | What is regularization loss in tensorflow? | What is regularization loss in tensorflow?
When training an Object Detection DNN with Tensorflows Object Detection API it's Visualization Plattform Tensorboard plots a scalar named regularization_loss_1
What is this? I know what regularization is (to make the Network good at generalizing through various methods like ... | https://stackoverflow.com/questions/48443886/what-is-regularization-loss-in-tensorflow | tensorflow, tensorboard, regularized | 1,516,886,542 |
se_79450826 | stackoverflow | MACHINE_LEARNING | Incorrect header check error when trying to access a tf_record file | Incorrect header check error when trying to access a tf_record file
I've recently ran into an error when trying to evaluate my training model onto my testing files. The error is thrown at the batch_raw = raw_iter.get_next():
try:
while N_b<max_batches:
batch_raw = raw_iter.get_next()
batch_test = t... | https://stackoverflow.com/questions/79450826/incorrect-header-check-error-when-trying-to-access-a-tf-record-file | python, tensorflow, gpu, conda, tfrecord | 1,739,957,879 |
se_64926141 | stackoverflow | MACHINE_LEARNING | N timeseries feed to one layer with N lstm cells, how to concatenate lstm horizontally as a layer? | N timeseries feed to one layer with N lstm cells, how to concatenate lstm horizontally as a layer?
I am trying to implement https://dl.acm.org/doi/pdf/10.1145/3269206.3271794 .
It has a network structure like this:
timeseries1 -> lstm1
timeseries2 -> lstm2
....
timeseriesN -> lstmN
[lstm1, lstm2, ... , lstmN] -> CNN... | https://stackoverflow.com/questions/64926141/n-timeseries-feed-to-one-layer-with-n-lstm-cells-how-to-concatenate-lstm-horizo | tensorflow, keras, lstm, tensorflow2.0, tf.keras | 1,605,861,168 |
se_56226621 | stackoverflow | MACHINE_LEARNING | How to extract data/labels back from TensorFlow dataset | How to extract data/labels back from TensorFlow dataset
There are plenty of examples how to create and use TensorFlow datasets, e.g.
dataset = tf.data.Dataset.from_tensor_slices((images, labels))
My question is how to get back the data/labels from the TF dataset in numpy form? In other words want would be reverse ope... | https://stackoverflow.com/questions/56226621/how-to-extract-data-labels-back-from-tensorflow-dataset | tensorflow, tensorflow-datasets | 1,558,378,399 |
se_63823395 | stackoverflow | MACHINE_LEARNING | How can I get the number of CUDA cores in my GPU using Python and Numba? | How can I get the number of CUDA cores in my GPU using Python and Numba?
I would like to know how to obtain the total number of CUDA Cores in my GPU using Python, Numba and cudatoolkit. | https://stackoverflow.com/questions/63823395/how-can-i-get-the-number-of-cuda-cores-in-my-gpu-using-python-and-numba | python, tensorflow, cuda, gpu, numba | 1,599,716,076 |
se_63191717 | stackoverflow | MACHINE_LEARNING | How to create input layer in keras for class label also? | How to create input layer in keras for class label also?
I wanted the class label information for my model to build a custom loss function similar to arcface how do I get input values of shape(1) in keras
X_input = Input(InputShape)
label = Input(shape=(1,))
#there are some more layers in between
model = Model(inputs... | https://stackoverflow.com/questions/63191717/how-to-create-input-layer-in-keras-for-class-label-also | python, tensorflow, keras | 1,596,197,998 |
se_62986313 | stackoverflow | MACHINE_LEARNING | keras 2.4. producing completely different output than 2.3.1 | keras 2.4. producing completely different output than 2.3.1
I am trying to implement autoencoders. Using MNIST dataset, I am first encoding the images and then decoding them. When I use keras version 2.3.1 I am getting decoded Images very close to original but on using Keras 2.4.3 and no change to code I am getting co... | https://stackoverflow.com/questions/62986313/keras-2-4-producing-completely-different-output-than-2-3-1 | python, tensorflow, machine-learning, keras, deep-learning | 1,595,197,223 |
se_67770595 | stackoverflow | MACHINE_LEARNING | How to extract the hidden vector (the output of the ReLU after the third encoder layer) as the image representation | How to extract the hidden vector (the output of the ReLU after the third encoder layer) as the image representation
I am implementing an autoencoder using the Fashion MNIST dataset. The code for the encoder-
class MNISTClassifier(Model):
def __init__(self):
super(MNISTClassifier, self).__init__()
s... | https://stackoverflow.com/questions/67770595/how-to-extract-the-hidden-vector-the-output-of-the-relu-after-the-third-encoder | tensorflow, keras, deep-learning, tensorflow2.0, autoencoder | 1,622,451,050 |
se_38664487 | stackoverflow | MACHINE_LEARNING | Neural Network - Working with a imbalanced dataset | Neural Network - Working with a imbalanced dataset
I am working on a Classification problem with 2 labels : 0 and 1. My training dataset is a very imbalanced dataset (and so will be the test set considering my problem).
The proportion of the imbalanced dataset is 1000:4 , with label '0' appearing 250 times more than... | https://stackoverflow.com/questions/38664487/neural-network-working-with-a-imbalanced-dataset | neural-network, tensorflow, random-forest | 1,469,813,646 |
se_79398217 | stackoverflow | MACHINE_LEARNING | InaccessibleTensorError when using multiple TensorArrays in a list | InaccessibleTensorError when using multiple TensorArrays in a list
I am implementing a fairly complex network structure where I need to loop over a (possibly variable) time dimension, compute values at each step, and collect all these values, and do this for multiple layers. The values at each layer could have differe... | https://stackoverflow.com/questions/79398217/inaccessibletensorerror-when-using-multiple-tensorarrays-in-a-list | python, tensorflow, tensorflow2.0, tensorflow-autograph | 1,738,185,587 |
se_56640990 | stackoverflow | MACHINE_LEARNING | How to match the output shape of generator and the input shape of discriminator in GAN? | How to match the output shape of generator and the input shape of discriminator in GAN?
I am working on my first GANs model, I've followed Tensorflow's official documentation using MNIST dataset. I've run it smoothly. I tried to replace MNIST with my own dataset, I've prepared it to match the same size as MNIST: 28 * ... | https://stackoverflow.com/questions/56640990/how-to-match-the-output-shape-of-generator-and-the-input-shape-of-discriminator | python, tensorflow, keras, neural-network, deep-learning | 1,560,824,690 |
se_53324596 | stackoverflow | MACHINE_LEARNING | Why does my MNIST dataset model only get an accuracy of around 11%? | Why does my MNIST dataset model only get an accuracy of around 11%?
For a model to classify digits in the MNIST dataset I used Keras:
from keras.models import Sequential
from keras.layers import Dense
from keras.datasets import mnist
from os import path
import numpy as np
network = Sequential()
network.add(Dense(700... | https://stackoverflow.com/questions/53324596/why-does-my-mnist-dataset-model-only-get-an-accuracy-of-around-11 | python, python-3.x, tensorflow, keras, neural-network | 1,542,301,619 |
se_62760477 | stackoverflow | MACHINE_LEARNING | Changing MobileNet Dropout After Loading | Changing MobileNet Dropout After Loading
I am working a transfer learning problem. When I create a new model from just the Mobilenet, I set a dropout.
base_model = MobileNet(weights='imagenet', include_top=False, input_shape=(200,200,3), dropout=.15)
x = base_model.output
x = GlobalAveragePooling2D()(x)
x = Dense(10, ... | https://stackoverflow.com/questions/62760477/changing-mobilenet-dropout-after-loading | python, tensorflow, keras, dropout, mobilenet | 1,594,053,103 |
se_79726822 | stackoverflow | MACHINE_LEARNING | Google Colab shows TPU connected, but TensorFlow can't detect TPU (COLAB_TPU_ADDR: None) | Google Colab shows TPU connected, but TensorFlow can't detect TPU (COLAB_TPU_ADDR: None)
I'm trying to use TPU in Google Colab for training a TensorFlow/Keras model.
I selected TPU under:
Runtime > Change runtime type > Hardware accelerator > TPU
And Colab shows this at the top:
Connected to
Python 3 Google Compu... | https://stackoverflow.com/questions/79726822/google-colab-shows-tpu-connected-but-tensorflow-cant-detect-tpu-colab-tpu-add | tensorflow, google-colaboratory, tpu, google-cloud-tpu | 1,754,454,260 |
se_55072299 | stackoverflow | MACHINE_LEARNING | Neural network weights too large? | Neural network weights too large?
I'm implementing a neural network with backward propagation. The weights are initialized to (-0.5, 0.5). However, after the first time the inputs are sent forward and errors and propagated back, the weights are increased to be around 1000, sometimes even 2000. (between the input layer... | https://stackoverflow.com/questions/55072299/neural-network-weights-too-large | tensorflow, machine-learning, neural-network | 1,552,086,877 |
se_79529428 | stackoverflow | MACHINE_LEARNING | What is wrong with my Python and Tensorflow install? | What is wrong with my Python and Tensorflow install?
I work on a PC with Windows 11 and have installed Python 3.11.9 which is supposed to be the required Python version for Tensorflow. I also installed numpy 1.26.4, scipy 1.15.2, Orange3 3.38.1 which were requested during earlier failures to install Tensorflow. The co... | https://stackoverflow.com/questions/79529428/what-is-wrong-with-my-python-and-tensorflow-install | python, python-3.x, numpy, tensorflow | 1,742,753,974 |
se_79727624 | stackoverflow | MACHINE_LEARNING | TensorFlow hangs indefinitely on model.fit() even with synthetic data | TensorFlow hangs indefinitely on model.fit() even with synthetic data
I have my dataset with images to classify, using an ML model in TensorFlow. When I train the model for a number of epochs, TensorFlow automatically prints out which epoch we are on. Mine is always stuck on 1/n. None of the batches are ever processed... | https://stackoverflow.com/questions/79727624/tensorflow-hangs-indefinitely-on-model-fit-even-with-synthetic-data | python, tensorflow, machine-learning | 1,754,500,172 |
se_59480642 | stackoverflow | MACHINE_LEARNING | Why is every prediction for my MNIST digit project wrong? | Why is every prediction for my MNIST digit project wrong?
I have done this basic project with Anaconda notebook. Everything runs fine, but every prediction with my own digit picture is wrong. I am using the MNIST Set for digital numbers and I am trying to paint my own digit with black background and white painting. B... | https://stackoverflow.com/questions/59480642/why-is-every-prediction-for-my-mnist-digit-project-wrong | python, tensorflow, machine-learning, neural-network, mnist | 1,577,295,656 |
se_78419755 | stackoverflow | MACHINE_LEARNING | TensorFlow.keras namespace not recognized by PyLance in Visual Studio Code | TensorFlow.keras namespace not recognized by PyLance in Visual Studio Code
I'm encountering an issue with PyLance in Visual Studio Code where the tensorflow.keras namespace isn't being recognized, leading to incomplete IntelliSense and auto-completion. It appears that this problem stems from the lazy loading functiona... | https://stackoverflow.com/questions/78419755/tensorflow-keras-namespace-not-recognized-by-pylance-in-visual-studio-code | python, tensorflow, visual-studio-code, machine-learning, intellisense | 1,714,659,118 |
se_49702795 | stackoverflow | MACHINE_LEARNING | Augment MNIST dataset tensorflow | Augment MNIST dataset tensorflow
I am trying to augment the MNIST dataset. This is what I tried. Can't get any success.
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
X = mnist.train.images
y = mnist.train.labels
def flip_images(X_imgs):
X_flip = []
tf.reset_default_graph(... | https://stackoverflow.com/questions/49702795/augment-mnist-dataset-tensorflow | python, tensorflow, machine-learning, computer-vision, mnist | 1,523,062,725 |
se_49932993 | stackoverflow | MACHINE_LEARNING | ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed | ImportError: DLL load failed: A dynamic link library (DLL) initialization routine failed
I installed TensorFlow with CPU support with CUDA Toolkit v9.0 and cuDNNv7.1 and Python 3.6 in Conda enviroment.
I followed the instructions described in TensorFlow website, and when I tried:
import tensorflow as tf
I got this er... | https://stackoverflow.com/questions/49932993/importerror-dll-load-failed-a-dynamic-link-library-dll-initialization-routin | python, tensorflow | 1,524,191,357 |
se_79722645 | stackoverflow | MACHINE_LEARNING | How to decode a tfrecord based on the available meta data | How to decode a tfrecord based on the available meta data
I have a three tfrecords (train,test valid) from the a deepmind github repo (https://github.com/google-deepmind/deepmind-research/tree/master/meshgraphnets) that I am trying to decode (at the minute just to interrogate the data but long term to train a GNN) how... | https://stackoverflow.com/questions/79722645/how-to-decode-a-tfrecord-based-on-the-available-meta-data | python, tensorflow, tfrecord, graph-neural-network | 1,754,058,689 |
se_47145841 | stackoverflow | MACHINE_LEARNING | How to install TensorFlow in MacOS? | How to install TensorFlow in MacOS?
Can anyone tell me easiest way to install TensorFlow in my MacOS specifically Apple Silicon & Intel MacBook?
I have tried below command using virtualenv in my Mac but it doesn't worked!
virtualenv --system-site-packages ~/tensorflow
-bash: virtualenv: command not found
Is there any... | https://stackoverflow.com/questions/47145841/how-to-install-tensorflow-in-macos | macos, tensorflow, machine-learning, apple-silicon | 1,510,002,629 |
se_47599145 | stackoverflow | MACHINE_LEARNING | Is it possible to reduce sum while ignoring the NaN values? | Is it possible to reduce sum while ignoring the NaN values?
Suppose I have a 2-D tensor of (batch_size, loss_dim) and I hope to get the sum of each of the loss dimensions for each data sample, which can be done with tf.reduce_mean(tensor, axis=-1).
However, what if there are NaN values in my tensor and I want to simp... | https://stackoverflow.com/questions/47599145/is-it-possible-to-reduce-sum-while-ignoring-the-nan-values | tensorflow | 1,512,151,826 |
se_77179215 | stackoverflow | MACHINE_LEARNING | TF Lite shows only zeros on prediction | TF Lite shows only zeros on prediction
I'm building a model in Tensorflow 2.10 for a classification problem. The model works fine on PC, but when converted to TF Lite, it shows only zeros in the prediction list. Model was tested on Android 13 using Flutter.
I want to repair the model but I don't see any error that wou... | https://stackoverflow.com/questions/77179215/tf-lite-shows-only-zeros-on-prediction | python, dart, tensorflow, machine-learning, tensorflow-lite | 1,695,724,702 |
se_65831968 | stackoverflow | MACHINE_LEARNING | tensor board output is not shown when I am trying to run the jupyter notebook on VSC | tensor board output is not shown when I am trying to run the jupyter notebook on VSC
I am trying to run this code on my system (Windows,VSC, Python 3.8):
https://www.tensorflow.org/tensorboard/graphs
I can see a message saying that tensorboard is launching but nothing show:
What is the problem and how I can fix it?
E... | https://stackoverflow.com/questions/65831968/tensor-board-output-is-not-shown-when-i-am-trying-to-run-the-jupyter-notebook-on | python, tensorflow, visual-studio-code, jupyter-notebook, tensorboard | 1,611,247,596 |
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