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_60771063 | stackoverflow | MACHINE_LEARNING | Tensorflow reported CUDA_ERROR_ILLEGAL_ADDRESS bug while train yolo | Tensorflow reported CUDA_ERROR_ILLEGAL_ADDRESS bug while train yolo
It is a really strange bug.
Environment: tf 1.12 + cuda9.0 + cudnn 7.5 + single RTX 2080
Today I tried to train YOLO V3 network on my new device. Batch size is 4. Every thing went right at the beginning, training started as usual and I could see the... | https://stackoverflow.com/questions/60771063/tensorflow-reported-cuda-error-illegal-address-bug-while-train-yolo | python, tensorflow, yolo | 1,584,694,465 |
se_40472144 | stackoverflow | MACHINE_LEARNING | ImportError: No module named tensorflow - Can't install Tensorflow | ImportError: No module named tensorflow - Can't install Tensorflow
I am trying to install tensorflow on mac and it's giving me this error.
ImportError: No module named tensorflow
Here is what I have done in the terminal
sudo easy_install pip
sudo easy_install --upgrade six
export TF_BINARY_URL=https://storage.g... | https://stackoverflow.com/questions/40472144/importerror-no-module-named-tensorflow-cant-install-tensorflow | python, tensorflow | 1,478,543,643 |
se_72613281 | stackoverflow | MACHINE_LEARNING | Doing inference without the whole Tensorflow dependency | Doing inference without the whole Tensorflow dependency
I have a saved model (*.pb file) and I would like to do inference using that.
I can easily do that when I import tensorflow but that looks like an overkill to me.
On Android for example, I can have libandroid_tensorflow_inference_java.jar and libtensorflow_infere... | https://stackoverflow.com/questions/72613281/doing-inference-without-the-whole-tensorflow-dependency | python, tensorflow | 1,655,193,015 |
se_78654902 | stackoverflow | MACHINE_LEARNING | What is the alternative for keras.layers.DenseFeatures in TensorFlow 2.16.+ | What is the alternative for keras.layers.DenseFeatures in TensorFlow 2.16.+
I am using feature-column dataset in my code, in newer version of TensorFlow 2.16.1 and later there is no keras.layers.DenseFeatures class in order to ready the input layer for the DNN. what is the alternative for that?
As I am using python 3.... | https://stackoverflow.com/questions/78654902/what-is-the-alternative-for-keras-layers-densefeatures-in-tensorflow-2-16 | python-3.x, tensorflow, deep-learning, data-preprocessing | 1,719,019,613 |
se_59587642 | stackoverflow | MACHINE_LEARNING | Error:MetaGraphDef associated with tags 'serve' could not be found in SavedModel | Error:MetaGraphDef associated with tags 'serve' could not be found in SavedModel
I have this error
RuntimeError: MetaGraphDef associated with tags 'serve' could not be found in SavedModel. To inspect available tag-sets in the SavedModel, please use the SavedModel CLI: `saved_model_cli`
available_tags: [{'trai... | https://stackoverflow.com/questions/59587642/errormetagraphdef-associated-with-tags-serve-could-not-be-found-in-savedmodel | python, tensorflow | 1,578,108,231 |
se_43190221 | stackoverflow | MACHINE_LEARNING | How to perform a Multi-Class classification in a convolutional neural 1D network with tensorflow? | How to perform a Multi-Class classification in a convolutional neural 1D network with tensorflow?
I have a training file in the following format:
0.086, 0.4343, 0.4212, ...., class1
0.086, 0.4343, 0.4212, ...., class2
0.086, 0.4343, 0.4212, ...., class5
Where, each row is a one-dimensional vector and t... | https://stackoverflow.com/questions/43190221/how-to-perform-a-multi-class-classification-in-a-convolutional-neural-1d-network | python, tensorflow, deep-learning, conv-neural-network | 1,491,238,500 |
se_76068754 | stackoverflow | MACHINE_LEARNING | Why don't breakpoints work in Tensorflow function (in lazy/graph mode)? | Why don't breakpoints work in Tensorflow function (in lazy/graph mode)?
I have a code like this that loads data:
def parse_tf_record(example_proto: tf.train.Example, symbols: t.List[str], all_indicators: t.List[str], indicators: t.List[str]) -> None:
feature_description = {symbol: tf.io.FixedLenFeature([len(al... | https://stackoverflow.com/questions/76068754/why-dont-breakpoints-work-in-tensorflow-function-in-lazy-graph-mode | python, python-3.x, tensorflow, tensorflow2.0 | 1,682,031,410 |
se_68950312 | stackoverflow | MACHINE_LEARNING | Tensorflow download | Tensorflow download
when I try to download Tensorflow, I get these errors. Can you help me please?
ERROR: astroid 2.2.5 requires typed-ast>=1.3.0; implementation_name == "cpython", which is not installed.
ERROR: tf-models-official 2.6.0 has requirement tensorflow>=2.5.0, but you'll have tensorflow 2.4.1 which is incom... | https://stackoverflow.com/questions/68950312/tensorflow-download | python, tensorflow | 1,630,052,973 |
se_71831415 | stackoverflow | MACHINE_LEARNING | Downgrade Python version in virtual environment | Downgrade Python version in virtual environment
I am always getting the same error regarding TensorFlow:
ModuleNotFoundError: No module named 'tensorflow.contrib'.
I am actually using Python version 3.9 but, reading online, it seems that version 3.7 is the last stable one that can work with TensorFlow version >2.0.
Un... | https://stackoverflow.com/questions/71831415/downgrade-python-version-in-virtual-environment | python, tensorflow, python-venv | 1,649,695,280 |
se_78259773 | stackoverflow | MACHINE_LEARNING | ValueError: Unknown layer: 'CustomScaleLayer' | ValueError: Unknown layer: 'CustomScaleLayer'
I am building a model using InceptionResNEtV2 for my image dataset training.
My model looks like:
`inception_resnet = InceptionResNetV2(weights = "imagenet",
include_top = False,
input_tensor = Input... | https://stackoverflow.com/questions/78259773/valueerror-unknown-layer-customscalelayer | python, tensorflow, keras, object-detection | 1,712,044,779 |
se_76488688 | stackoverflow | MACHINE_LEARNING | ValueError: Unknown layer: 'CustomScaleLayer'. Please ensure you are using a`keras.utils.custom_object_scope` | ValueError: Unknown layer: 'CustomScaleLayer'. Please ensure you are using a`keras.utils.custom_object_scope`
tensorflow version : t2.13.0-rc1
import os
import cv2
import numpy as np
import pandas as pd
import tensorflow as tf
import pytesseract as pt
import plotly.express as px
import matplotlib.pyplot as plt... | https://stackoverflow.com/questions/76488688/valueerror-unknown-layer-customscalelayer-please-ensure-you-are-using-aker | python, tensorflow, machine-learning, keras, keras-layer | 1,686,906,809 |
se_79920330 | stackoverflow | MACHINE_LEARNING | Can i make a Neural network And simply ML Model using a smartphone? (Ain't Have Pc/Laptop Btw) | Can i make a Neural network And simply ML Model using a smartphone? (Ain't Have Pc/Laptop Btw)
I am someone who is currently Learn Python, especially libary for make machine learn, but i am not have pc/laptop , can i make my own ML & Neural model?
I haveI've heard that we can use Google Colab for code, Hugging fac... | https://stackoverflow.com/questions/79920330/can-i-make-a-neural-network-and-simply-ml-model-using-a-smartphone-aint-have | android, numpy, tensorflow, machine-learning, artificial-intelligence | 1,775,359,028 |
se_79919189 | stackoverflow | MACHINE_LEARNING | Custom PyEnvironment time_step and time_step_spec do not match | Custom PyEnvironment time_step and time_step_spec do not match
I'm creating a custom PyEnvironment in TensorFlow Agents to simulate the track and field decathlon. I've managed to create a functioning environment in the sense that I can use _step and _reset, but when implementing a reverb-based replay buffer, I get the... | https://stackoverflow.com/questions/79919189/custom-pyenvironment-time-step-and-time-step-spec-do-not-match | python, tensorflow, reinforcement-learning, tensorflow-agents | 1,775,149,179 |
se_79912893 | stackoverflow | MACHINE_LEARNING | Which is the best way to detect lines in historically book pages | Which is the best way to detect lines in historically book pages
I am working on an OCR project and need to create a dataset consisting of approximately 1247 pages from 6 books. I need to crop the images line by line and transcribe the text for training a model. What is the best approach for accurately detecting lines... | https://stackoverflow.com/questions/79912893/which-is-the-best-way-to-detect-lines-in-historically-book-pages | python, tensorflow, opencv, deep-learning, ocr | 1,774,279,573 |
se_79918294 | stackoverflow | MACHINE_LEARNING | Can I create a layer in Keras that de-scales my output? | Can I create a layer in Keras that de-scales my output?
I am working on a keras regression network that takes about 60 input variables and outputs 35 variables. For both the input and output, about half of the variables are in the range of ±10, while the other half of the variables are around the 100 000s. So there's ... | https://stackoverflow.com/questions/79918294/can-i-create-a-layer-in-keras-that-de-scales-my-output | python, tensorflow, keras, normalization | 1,775,038,844 |
se_61349245 | stackoverflow | MACHINE_LEARNING | Workaround for tensorflow's inability to assign in eager tensors | Workaround for tensorflow's inability to assign in eager tensors
Eager tensors don't support assignment. I need to do assignment.
a = tf.convert_to_tensor(np.random.choice(10, size = 12).reshape(3,4))
b = tf.convert_to_tensor(np.array([2,3]))
a[:,b] *= -1
Traceback (most recent call last):
File "<ipython-in... | https://stackoverflow.com/questions/61349245/workaround-for-tensorflows-inability-to-assign-in-eager-tensors | python, tensorflow, variable-assignment | 1,587,489,299 |
se_79858798 | stackoverflow | MACHINE_LEARNING | Is it correct to use build() in Keras to create internal layers that depend on input_shape? | Is it correct to use build() in Keras to create internal layers that depend on input_shape?
I’m implementing a U-Net style residual block in Keras:
class UnetResBlock(layers.Layer):
def __init__(self, spatial_dims, in_channels, out_channels, ...):
super().__init__()
# Main conv layers
self.... | https://stackoverflow.com/questions/79858798/is-it-correct-to-use-build-in-keras-to-create-internal-layers-that-depend-on-i | python, tensorflow, keras | 1,767,303,697 |
se_75093044 | stackoverflow | MACHINE_LEARNING | how to design a custom loss function to add two loss | how to design a custom loss function to add two loss
I am using CNN to solve a regression problem in a supervised manner. i have input data(X_train) and the target data(y_train). | https://stackoverflow.com/questions/75093044/how-to-design-a-custom-loss-function-to-add-two-loss | tensorflow, machine-learning, tensorflow2.0, tf.keras, loss-function | 1,673,509,734 |
se_73386000 | stackoverflow | MACHINE_LEARNING | Simple BERT implementation on R side | Simple BERT implementation on R side
I would like to implement a simple text classification using BERT model on R side. On my local side, I have no progress because of this issue. Therefore, I moved to kaggle platform. Also, I have started to replicate this kaggle kernel. However, I could not succeed to call transform... | https://stackoverflow.com/questions/73386000/simple-bert-implementation-on-r-side | r, tensorflow, bert-language-model, transformer-model, reticulate | 1,660,728,412 |
se_79906620 | stackoverflow | MACHINE_LEARNING | How to correctly extract the CLS token from a Keras Hub ViT backbone, and clarify preprocessor usage and pretraining dataset? | How to correctly extract the CLS token from a Keras Hub ViT backbone, and clarify preprocessor usage and pretraining dataset?
I’m working with a Vision Transformer (ViT) backbone from Keras Hub and building my own classification head. My code looks like this:
python
def get_vit_model(model_variant='vit_base',
... | https://stackoverflow.com/questions/79906620/how-to-correctly-extract-the-cls-token-from-a-keras-hub-vit-backbone-and-clarif | python, tensorflow, keras | 1,773,367,680 |
se_79912564 | stackoverflow | MACHINE_LEARNING | Built a Continued Pretraining + Fine-Tuning pipeline for a Veterinary Drug LLM on BioGPT-Large — Looking for feedback on my approach | Built a Continued Pretraining + Fine-Tuning pipeline for a Veterinary Drug LLM on BioGPT-Large — Looking for feedback on my approach
I've been working on adapting Microsoft's BioGPT-Large for veterinary pharmacology using Plumb's Veterinary Drug Handbook (2023) as my domain corpus. After going through a lot of trial a... | https://stackoverflow.com/questions/79912564/built-a-continued-pretraining-fine-tuning-pipeline-for-a-veterinary-drug-llm-o | tensorflow, machine-learning, artificial-intelligence, fine-tuning, rag | 1,774,238,342 |
se_33610685 | stackoverflow | MACHINE_LEARNING | In TensorFlow, what is the difference between Session.run() and Tensor.eval()? | In TensorFlow, what is the difference between Session.run() and Tensor.eval()?
TensorFlow has two ways to evaluate part of graph: Session.run on a list of variables and Tensor.eval. Is there a difference between these two? | https://stackoverflow.com/questions/33610685/in-tensorflow-what-is-the-difference-between-session-run-and-tensor-eval | python, tensorflow | 1,447,077,172 |
se_47739284 | stackoverflow | MACHINE_LEARNING | tensorflow matrix multiplication | tensorflow matrix multiplication
So, i want to multiply a matrix with a matrix. When I try an array with a matrix, it works:
import tensorflow as tf
x = tf.placeholder(tf.float32, [None, 3])
W = tf.Variable(tf.ones([3, 3]))
y = tf.matmul(x, W)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer(... | https://stackoverflow.com/questions/47739284/tensorflow-matrix-multiplication | python, matrix, tensorflow | 1,512,912,144 |
se_79908102 | stackoverflow | MACHINE_LEARNING | ValueError: shapes mismatch when combining Re-ID Cosine distance and IoU matrices for custom MOT tracking | ValueError: shapes mismatch when combining Re-ID Cosine distance and IoU matrices for custom MOT tracking
I am building a custom Multi-Object Tracking (MOT) system using Python, OpenCV, and TensorFlow. My goal is to track people and perform real-time clothing recognition. To prevent ID switches when a person turns aro... | https://stackoverflow.com/questions/79908102/valueerror-shapes-mismatch-when-combining-re-id-cosine-distance-and-iou-matrice | python, numpy, tensorflow, computer-vision, object-tracking | 1,773,610,748 |
se_72129545 | stackoverflow | MACHINE_LEARNING | ImportError: cannot import name 'keras' from 'tensorflow' | ImportError: cannot import name 'keras' from 'tensorflow'
I'm try learning TensorFlow but i have a problem. I'm importing TensorFlow like in official website but i take a error.
import pandas as pd
import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import laye... | https://stackoverflow.com/questions/72129545/importerror-cannot-import-name-keras-from-tensorflow | python, tensorflow, keras | 1,651,763,496 |
se_39023581 | stackoverflow | MACHINE_LEARNING | Tensorflow: Cuda compute capability 3.0. The minimum required Cuda capability is 3.5 | Tensorflow: Cuda compute capability 3.0. The minimum required Cuda capability is 3.5
I am installing tensorflow from source (documentation).
Cuda driver version:
nvcc: NVIDIA (R) Cuda compiler driver
Cuda compilation tools, release 7.5, V7.5.17
When I ran the following command :
bazel-bin/tensorflow/cc/tutorials... | https://stackoverflow.com/questions/39023581/tensorflow-cuda-compute-capability-3-0-the-minimum-required-cuda-capability-is | python, tensorflow, gpu, bazel | 1,471,538,917 |
se_60934350 | stackoverflow | MACHINE_LEARNING | How to estimate how much GPU memory required for deep learning? | How to estimate how much GPU memory required for deep learning?
We are trying to train our model for object recognition using tensorflow. Since there are too many images (100GB), I guess our current GPU server (1*2080Ti) could not work. We may need to purchase a more powerful one, but I do not sure how to estimate how... | https://stackoverflow.com/questions/60934350/how-to-estimate-how-much-gpu-memory-required-for-deep-learning | tensorflow, deep-learning, gpu, nvidia | 1,585,583,419 |
se_39890147 | stackoverflow | MACHINE_LEARNING | Keras uses way too much GPU memory when calling train_on_batch, fit, etc | Keras uses way too much GPU memory when calling train_on_batch, fit, etc
I've been messing with Keras, and like it so far. There's one big issue I have been having, when working with fairly deep networks: When calling model.train_on_batch, or model.fit etc., Keras allocates significantly more GPU memory than what the ... | https://stackoverflow.com/questions/39890147/keras-uses-way-too-much-gpu-memory-when-calling-train-on-batch-fit-etc | memory, tensorflow, keras, theano | 1,475,739,256 |
se_45132809 | stackoverflow | MACHINE_LEARNING | How to select batch size automatically to fit GPU? | How to select batch size automatically to fit GPU?
I am training deep neural networks with a GPU. If I make samples too large, batches too large, or networks too deep, I get an out of memory error. In this case, it is sometimes possible to make smaller batches and still train.
Is it possible to calculate GPU size req... | https://stackoverflow.com/questions/45132809/how-to-select-batch-size-automatically-to-fit-gpu | tensorflow, out-of-memory, deep-learning, gpu, keras | 1,500,235,329 |
se_79905440 | stackoverflow | MACHINE_LEARNING | Input 'y' of 'Sub' Op has type float16 that does not match type float32 of argument 'x' when using mixed precision with custom loss | Input 'y' of 'Sub' Op has type float16 that does not match type float32 of argument 'x' when using mixed precision with custom loss
I am experimenting with mixed precision training in TensorFlow to speed up training on a GPU. I enabled the global mixed precision policy and implemented a custom ... | https://stackoverflow.com/questions/79905440/input-y-of-sub-op-has-type-float16-that-does-not-match-type-float32-of-argum | python, tensorflow, tensorflow2.0, tf.keras | 1,773,236,992 |
se_73152462 | stackoverflow | MACHINE_LEARNING | Tensorflow custom loss for multiple outputs model | Tensorflow custom loss for multiple outputs model
I am working on a image segmentation and classification model which take one 3D image (64x64x64) and return two outputs (3D mask 64x64x64 and one-hot encoded category). Two outputs has been defined like this:
seg_final_stage = Conv3D(seg_classes, kernel_size=3, strides... | https://stackoverflow.com/questions/73152462/tensorflow-custom-loss-for-multiple-outputs-model | python, tensorflow, keras, deep-learning | 1,659,009,204 |
se_78567291 | stackoverflow | MACHINE_LEARNING | Can't test my Tensorflow convolution model with my own drawings | Can't test my Tensorflow convolution model with my own drawings
I'm a beginner in tensorflow and I made a convolution model with tensorflow (sub-classing) to classify 10 different draws. For that I used the quick draw dataset with images of size (1, 28, 28, 1).
To compile the model I used :
loss : SparseCategorica... | https://stackoverflow.com/questions/78567291/cant-test-my-tensorflow-convolution-model-with-my-own-drawings | tensorflow, conv-neural-network, image-resizing | 1,717,351,284 |
se_79879711 | stackoverflow | MACHINE_LEARNING | Loop over instances of classes in TensorFlow graph mode | Loop over instances of classes in TensorFlow graph mode
I have a set of classes that store tensors and perform some operation with them using a method inherent to each class. My code has a set-up phase where a list of instances of those classes is created. Then, in graph mode, a function must iterate through that list... | https://stackoverflow.com/questions/79879711/loop-over-instances-of-classes-in-tensorflow-graph-mode | python, tensorflow, graph | 1,769,806,547 |
se_79802200 | stackoverflow | MACHINE_LEARNING | TensorFlow Custom Training Loop with Mixed Precision Causing NaN Loss After Epoch 15 | TensorFlow Custom Training Loop with Mixed Precision Causing NaN Loss After Epoch 15
I am implementing a custom training loop in TensorFlow 2.18 with mixed precision (float16) for a large vision transformer model. The training runs fine for about 15 epochs, but then the loss suddenly becomes NaN. I have even verified ... | https://stackoverflow.com/questions/79802200/tensorflow-custom-training-loop-with-mixed-precision-causing-nan-loss-after-epoc | python, tensorflow, keras, tensorflow2.0 | 1,761,595,266 |
se_79904053 | stackoverflow | MACHINE_LEARNING | Building tensorflow ambiguity errors | Building tensorflow ambiguity errors
I'm building tensorflow 2.20.0 from source from official repo (from release branch v2.20.0)
with rocm and -march=native
I use:
export HERMETIC_PYTHON_VERSION=3.13
export ROCM_PATH=/opt/rocm/
export PATH="$PATH:/opt/rocm/bin"
Tools:
Python 3.13
Clang version 18.1.8
Bazel 7.4.1 (v... | https://stackoverflow.com/questions/79904053/building-tensorflow-ambiguity-errors | tensorflow, clang, fft | 1,773,079,702 |
se_49764981 | stackoverflow | MACHINE_LEARNING | set diagonal values of tensor to 0 | set diagonal values of tensor to 0
It seems that there is no simple way to assign a value to the diagonal of a Tensor. Ideally I am looking for a command like numpy.fill_diagonal.
Currently I accomplish this by doing:
tf.matrix_set_diag(
matrix,
tf.zeros_like(matrix.shape[0:-1]),
... | https://stackoverflow.com/questions/49764981/set-diagonal-values-of-tensor-to-0 | tensorflow | 1,523,409,363 |
se_75260541 | stackoverflow | MACHINE_LEARNING | How to make a stacked Keras LSTM | How to make a stacked Keras LSTM
My Tensorflow non-stacked LSTM model code works well for this:
# reshape input to be [samples, time steps, features]
trainX = np.reshape(trainX, (trainX.shape[0], 1, trainX.shape[1]))
testX = np.reshape(testX, (testX.shape[0], 1, testX.shape[1]))
# create and fit the LSTM network
mode... | https://stackoverflow.com/questions/75260541/how-to-make-a-stacked-keras-lstm | python, tensorflow, machine-learning, lstm, tf.keras | 1,674,835,411 |
se_79850470 | stackoverflow | MACHINE_LEARNING | Tensorflow Keras Autoencoder Masking Features not Timesteps | Tensorflow Keras Autoencoder Masking Features not Timesteps
I have Conv1D autoencoder network, and i a have unreliable data source of a data stream, speaking i receive different event patterns at fixed interval of e.g. 2 seconds. Sometimes I have 4 different event types, sometimes only 2.
In preprocessing i transpose ... | https://stackoverflow.com/questions/79850470/tensorflow-keras-autoencoder-masking-features-not-timesteps | tensorflow, machine-learning, keras, stream, autoencoder | 1,766,072,672 |
se_41955404 | stackoverflow | MACHINE_LEARNING | Tensorflow: How to ignore specific labels during semantic segmentation? | Tensorflow: How to ignore specific labels during semantic segmentation?
I'm using tensorflow for semantic segmentation. How can I tell tensorflow to ignore a specific label when computing the pixelwise loss?
I've read in this post that for image classification one can set the label to -1 and it will be ignored. If ... | https://stackoverflow.com/questions/41955404/tensorflow-how-to-ignore-specific-labels-during-semantic-segmentation | tensorflow | 1,485,859,009 |
se_77133696 | stackoverflow | MACHINE_LEARNING | Unable to resolve module ./.expo/.virtual-metro-entry | Unable to resolve module ./.expo/.virtual-metro-entry
Actually I have installed unimodule previously was running react native cli because of tensorflow/tfjs-react-native I have to install unimodule but whenever I am doing yarn android I am getting below error
Error: Unable to resolve module ./.expo/.virtual-metro-entr... | https://stackoverflow.com/questions/77133696/unable-to-resolve-module-expo-virtual-metro-entry | reactjs, react-native, tensorflow, react-hooks, expo | 1,695,118,718 |
se_79888024 | stackoverflow | MACHINE_LEARNING | Keras ImageDataGenerator width_shift_range moving vertically despite correct input shape (H, W, C) | Keras ImageDataGenerator width_shift_range moving vertically despite correct input shape (H, W, C)
I am experiencing a very strange issue with Keras ImageDataGenerator.
I have a landscape image with shape (1056, 2000, 3).
Height (Axis 0): 1056
Width (Axis 1): 2000
When I use plt.imshow(), the axes are displayed co... | https://stackoverflow.com/questions/79888024/keras-imagedatagenerator-width-shift-range-moving-vertically-despite-correct-inp | python, tensorflow, machine-learning, keras, imagedatagenerator | 1,770,892,433 |
se_79898570 | stackoverflow | MACHINE_LEARNING | Tensorflow Keras CV tutorials incorrectly working | Tensorflow Keras CV tutorials incorrectly working
I'm starting learning Machine Learning by Tensorflow Keras CV tutorials and two of my tutorial projects are not working correctly.
I use these tutorials:
https://www.tensorflow.org/tutorials/load_data/images
https://www.tensorflow.org/tutorials/keras/classification
And... | https://stackoverflow.com/questions/79898570/tensorflow-keras-cv-tutorials-incorrectly-working | python, tensorflow, machine-learning, keras | 1,772,306,461 |
se_79898762 | stackoverflow | MACHINE_LEARNING | How initializing weights with large value causes vanishing gradient problem in neural network | How initializing weights with large value causes vanishing gradient problem in neural network
I was watching this tutorial on weight initialization in neural network, and im not able to understand this statement:
In case of Tanh, Sigmoid activation, If we initialize weights with large values (range [0,1)), then the tr... | https://stackoverflow.com/questions/79898762/how-initializing-weights-with-large-value-causes-vanishing-gradient-problem-in-n | python, tensorflow, deep-learning, neural-network, activation-function | 1,772,354,646 |
se_79897271 | stackoverflow | MACHINE_LEARNING | How can I install Python 3.11 in windows for Tensorflow | How can I install Python 3.11 in windows for Tensorflow
I saw that it is recommended to use this version of python for tensorflow, but I am unable to download it for windows since the page no longer has an installer and the only "installer" I can find is an .msix that my computer refuses to run for security reasons: S... | https://stackoverflow.com/questions/79897271/how-can-i-install-python-3-11-in-windows-for-tensorflow | python, tensorflow | 1,772,126,186 |
se_48637400 | stackoverflow | MACHINE_LEARNING | Tensorflow Object Detection API - Adding more training data half way, is it ok? | Tensorflow Object Detection API - Adding more training data half way, is it ok?
I have a total of 300 images for the training dataset, the current saved checkpoint is 8054. Trained for 10 hours and having accuracy of around 50%. The model is required to detect only one object.
I wish to improve the accuracy. So, I am ... | https://stackoverflow.com/questions/48637400/tensorflow-object-detection-api-adding-more-training-data-half-way-is-it-ok | tensorflow, machine-learning, object-detection | 1,517,901,265 |
se_79770352 | stackoverflow | MACHINE_LEARNING | How to load a model while ignoring unbuilt head layers? (`expected 2 variables, received 0`) | How to load a model while ignoring unbuilt head layers? (`expected 2 variables, received 0`)
I’m loading a custom ViT backbone saved via MLflow’s TensorFlow flavor (Keras 3). The artifact includes backbone parts I want (patch_embed, encoder) a couple of layers in the encoder were saved in a partially built state. Whe... | https://stackoverflow.com/questions/79770352/how-to-load-a-model-while-ignoring-unbuilt-head-layers-expected-2-variables | tensorflow, machine-learning, keras, mlflow, keras-3 | 1,758,377,792 |
se_58752942 | stackoverflow | MACHINE_LEARNING | Are there IEC 61131 / IEC 61499 PLC function blocks that use OPA UA to transport data? | Are there IEC 61131 / IEC 61499 PLC function blocks that use OPA UA to transport data?
I have a machine learning and advanced control application in Python (TensorFlow + Gekko) that I need to integrate with a Programmable Logic Controller (PLC) that provides the data acquisition and final element control. Can I use a ... | https://stackoverflow.com/questions/58752942/are-there-iec-61131-iec-61499-plc-function-blocks-that-use-opa-ua-to-transport | python, tensorflow, automation, gekko, iec61131-3 | 1,573,143,603 |
se_79884426 | stackoverflow | MACHINE_LEARNING | conflict between tensorflow and pyopengl | conflict between tensorflow and pyopengl
Using python 3.13, I get an Segmentation Fault with code which earlier (using python 3.10, tensorflow-cpu 2.12, PyOpenGl 3.1.0 and pygame 2.5.0) used to work fine.
Now it segfaults at the location where OpenGL actually does some work (at a call to glCallList, which is I think t... | https://stackoverflow.com/questions/79884426/conflict-between-tensorflow-and-pyopengl | python, tensorflow, pyopengl | 1,770,391,223 |
se_58413230 | stackoverflow | MACHINE_LEARNING | How to prevent keras from renaming layers | How to prevent keras from renaming layers
When I re-create a model, keras always makes a new name for a layer (conv2d_2 and so on) even if I override the model. How to make keras using the same name every time I run it without restarting the kernel. | https://stackoverflow.com/questions/58413230/how-to-prevent-keras-from-renaming-layers | python, tensorflow, keras, neural-network, jupyter-notebook | 1,571,228,491 |
se_62991016 | stackoverflow | MACHINE_LEARNING | Tensorflow keras model for solving simple equation | Tensorflow keras model for solving simple equation
I'm trying to understand how to create a simple tensorflow 2.2 keras model that can predict a simple function value:
f(a, b, c, d) = a < b : max(a/2, c/3) : max (b/2, d/3)
I know this exact question can be reduced to a categorical classification but my intention is t... | https://stackoverflow.com/questions/62991016/tensorflow-keras-model-for-solving-simple-equation | tensorflow, machine-learning, keras, deep-learning, neural-network | 1,595,231,943 |
se_56093535 | stackoverflow | MACHINE_LEARNING | What is the use case of this TensorFlow class: image.flip_up_down? | What is the use case of this TensorFlow class: image.flip_up_down?
What is the use case of this TensorFlow class: image.flip_up_down?
Why the image has to flip up and down? Whats the reason behind this? | https://stackoverflow.com/questions/56093535/what-is-the-use-case-of-this-tensorflow-class-image-flip-up-down | tensorflow, machine-learning, image-processing, image-conversion | 1,557,602,284 |
se_63378266 | stackoverflow | MACHINE_LEARNING | can we save a tokenizer to preprocess raw text in savedmodel? | can we save a tokenizer to preprocess raw text in savedmodel?
I am facing an issue currently, regarding the preprocessing of an input with the SavedModel format.
I am using Transformers model which are using subword/BPE encoder. I can save my model into a savedModel format but I do not know how to add the preprocessin... | https://stackoverflow.com/questions/63378266/can-we-save-a-tokenizer-to-preprocess-raw-text-in-savedmodel | tensorflow, tokenize | 1,597,241,101 |
se_79891158 | stackoverflow | MACHINE_LEARNING | How to solve a checksum error with tfds.load | How to solve a checksum error with tfds.load
I'm trying to learn how to use Transformers with TensorFlow and I'm following this tutorial on the TensorFlow website:
https://www.tensorflow.org/text/tutorials/transformer
The problem I have is when I try the line:
tfds.load('ted_hrlr_translate/pt_to_en',with_info=True,as_... | https://stackoverflow.com/questions/79891158/how-to-solve-a-checksum-error-with-tfds-load | tensorflow, machine-learning, nlp, checksum | 1,771,359,789 |
se_54075663 | stackoverflow | MACHINE_LEARNING | Python3.7 is not compatible with Tensorflow? | Python3.7 is not compatible with Tensorflow?
I am trying to continue with a Rasa chatbot that I have not used since September and I find a syntax problem with the dependency of Tensorflow. I do not know if this is due to the fact that there are updates to be made with my dependencies or if it due to the fact that I us... | https://stackoverflow.com/questions/54075663/python3-7-is-not-compatible-with-tensorflow | python, tensorflow, rasa-nlu, rasa-core | 1,546,868,943 |
se_74425486 | stackoverflow | MACHINE_LEARNING | Importing TensorFlow "async" syntax error | Importing TensorFlow "async" syntax error
I am trying to use the module imageai for a project and ran the line "from imageai.Detection import ObjectDetection". However, when I do so, this error appears:
File /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/tensorflow/python/pyw... | https://stackoverflow.com/questions/74425486/importing-tensorflow-async-syntax-error | python, tensorflow, syntax-error | 1,668,380,998 |
se_78902144 | stackoverflow | MACHINE_LEARNING | Model definition in Keras tutorial "Probabilistic Bayesian Neural Networks" leads to error "AttributeError: 'tuple' object has no attribute 'rank'" | Model definition in Keras tutorial "Probabilistic Bayesian Neural Networks" leads to error "AttributeError: 'tuple' object has no attribute 'rank'"
I am trying to run the keras-tutorial Probabilistic Bayesian Neural Networks to get an understanding of Bayesian neural networks (BNN).... | https://stackoverflow.com/questions/78902144/model-definition-in-keras-tutorial-probabilistic-bayesian-neural-networks-lead | python, tensorflow, keras, bayesian-networks, tensorflow-probability | 1,724,337,542 |
se_60208936 | stackoverflow | MACHINE_LEARNING | Cannot dlopen some GPU libraries. Skipping registering GPU devices | Cannot dlopen some GPU libraries. Skipping registering GPU devices
Tensorflow is only using the CPU and wont use the GPU. I assume its because it expects Cuda 10.0 and it finds 10.2.
I had installed 10.2 but have purged it and installed 10.0.
Im running Ubuntu 19.10, AMD Ryzen 2700 Cpu, RTX 2080 S.
I have installed... | https://stackoverflow.com/questions/60208936/cannot-dlopen-some-gpu-libraries-skipping-registering-gpu-devices | python-3.x, tensorflow, gpu | 1,581,600,311 |
se_53358838 | stackoverflow | MACHINE_LEARNING | Predicting all zeros | Predicting all zeros
I've depeloped a neural network for classification and I'm getting a 0.93 of accuracy, the problem is that I'm predicting all zeros because the distribution of the data.
How can I fix it? Should I change from neural network to another algorithm?
Thanks in advance
Edit: i've just checked and m... | https://stackoverflow.com/questions/53358838/predicting-all-zeros | python, tensorflow, machine-learning, deep-learning | 1,542,526,957 |
se_79882097 | stackoverflow | MACHINE_LEARNING | Keras Loss from multiple output layers | Keras Loss from multiple output layers
I have a Keras model with multiple output layers. I want to have a loss function, that computes a loss based on two of the model output layers.
Can I do this in a simple way, without using a custom train loop or adding a layer for this? | https://stackoverflow.com/questions/79882097/keras-loss-from-multiple-output-layers | python, tensorflow, keras | 1,770,135,962 |
se_79885777 | stackoverflow | MACHINE_LEARNING | ODIR-5K: Should I train a Dual-Input CNN (Left/Right) or split images for Patient-Level Multi-Label Classification? | ODIR-5K: Should I train a Dual-Input CNN (Left/Right) or split images for Patient-Level Multi-Label Classification?
I am working with the ODIR-5K (Ocular Disease Intelligent Recognition) dataset. The goal is multi-label classification of 8 ocular diseases (Normal, Diabetes, Glaucoma, Cataract, etc.).
The Data Structur... | https://stackoverflow.com/questions/79885777/odir-5k-should-i-train-a-dual-input-cnn-left-right-or-split-images-for-patien | tensorflow, machine-learning, keras, computer-vision, conv-neural-network | 1,770,632,924 |
se_67413144 | stackoverflow | MACHINE_LEARNING | Why Magenta is preprocessing less outputs than inputs? | Why Magenta is preprocessing less outputs than inputs?
I am using Magenta's Polyphony RNN to generate MIDI music. I have the dataset, but when it comes to Magenta's preprocessing, it produces fewer outputs than I expected to produce (it should be the same as inputs). I can observe that there are some metrics to get ri... | https://stackoverflow.com/questions/67413144/why-magenta-is-preprocessing-less-outputs-than-inputs | tensorflow, pipeline, recurrent-neural-network, midi, magenta | 1,620,283,757 |
se_79872844 | stackoverflow | MACHINE_LEARNING | Recommended backend and ML tools for expense prediction app | Recommended backend and ML tools for expense prediction app
I am working on a project to build an AI-powered family budget mobile application.
The app will track income and expenses, categorize transactions, analyze spending
patterns, and predict future expenses.
My current planned technology stack is as follows.
Fron... | https://stackoverflow.com/questions/79872844/recommended-backend-and-ml-tools-for-expense-prediction-app | python, tensorflow, machine-learning, time-series, backend | 1,768,997,632 |
se_79873669 | stackoverflow | MACHINE_LEARNING | TFModel weights do not appear in model.trainable_weights | TFModel weights do not appear in model.trainable_weights
I wrote a custom TensorFlow model shown below. My issue is that the backbone is not appearing in model.summary() and not in model.trainable_weights().
However I does work if I go into model.backbone.trainable_weights(). This means I have to provide both model.tr... | https://stackoverflow.com/questions/79873669/tfmodel-weights-do-not-appear-in-model-trainable-weights | tensorflow, keras, tensorflow2.0, huggingface | 1,769,080,961 |
se_65677815 | stackoverflow | MACHINE_LEARNING | Keras+tensorflow code to create sequential model crashing with message "Your session crashed for an unknown reason" on Google colab | Keras+tensorflow code to create sequential model crashing with message "Your session crashed for an unknown reason" on Google colab
While running the following code on Google colab with 'GPU' runtime (as one of my custom layers performs tensorflow.fft using GPU), my session is crashing.
fc2_shape = 32*32
mo... | https://stackoverflow.com/questions/65677815/kerastensorflow-code-to-create-sequential-model-crashing-with-message-your-ses | tensorflow, keras, google-colaboratory | 1,610,423,633 |
se_75927777 | stackoverflow | MACHINE_LEARNING | Value Error: Shapes (None, 21) and (None, 7, 7, 21) are incompatible | Value Error: Shapes (None, 21) and (None, 7, 7, 21) are incompatible
I am doing an exercise with the VGG16 model using Keras.
I have loaded the model and now I have to Replace the last 3 fully connected layers with 3 new layers: the first 2 of 50 and 20 neurons respectively with ReLU activation, and a last layer with ... | https://stackoverflow.com/questions/75927777/value-error-shapes-none-21-and-none-7-7-21-are-incompatible | python, tensorflow, keras | 1,680,600,857 |
se_55142951 | stackoverflow | MACHINE_LEARNING | TensorFlow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session' | TensorFlow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'
When I am executing the command sess = tf.Session() in a TensorFlow 2.0 environment, I am getting an error message as below:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'ten... | https://stackoverflow.com/questions/55142951/tensorflow-2-0-attributeerror-module-tensorflow-has-no-attribute-session | python, tensorflow, keras, tensorflow2.0 | 1,552,483,399 |
se_52695829 | stackoverflow | MACHINE_LEARNING | Object detection using TFLearn or TensorFlow object detection API | Object detection using TFLearn or TensorFlow object detection API
I want to build a object detection model and cannot figure out whether to go for TensorFlow object detection API or use TFLearn to build a model. What the pros and cons of both? | https://stackoverflow.com/questions/52695829/object-detection-using-tflearn-or-tensorflow-object-detection-api | tensorflow, machine-learning, deep-learning, object-detection, tflearn | 1,538,976,200 |
se_51348085 | stackoverflow | MACHINE_LEARNING | Keras Tutorial Error: NameError: name 'layers' is not defined | Keras Tutorial Error: NameError: name 'layers' is not defined
I am trying to follow this Keras tutorial, but I encounter the following error when compiling using the command python3 test.py:
Traceback (most recent call last):
File "test.py", line 13, in <module>
layers.Dense(64, activation='sigmoid')
Na... | https://stackoverflow.com/questions/51348085/keras-tutorial-error-nameerror-name-layers-is-not-defined | python, python-3.x, tensorflow, keras, keras-layer | 1,531,655,401 |
se_79872978 | stackoverflow | MACHINE_LEARNING | LSTM time series using Keras Sequential, .predict() explanation | LSTM time series using Keras Sequential, .predict() explanation
I fit a model using Keras sequential with LSTM layers. The LSTM model will have certain aspects of the state carry forward from one period t to the next, besides the the input sequence of values for that period.
I fit the model on data ending Dec 31, 202... | https://stackoverflow.com/questions/79872978/lstm-time-series-using-keras-sequential-predict-explanation | python, tensorflow, keras, lstm | 1,769,007,657 |
se_65764544 | stackoverflow | MACHINE_LEARNING | What does keras model.predict output? | What does keras model.predict output?
I've built an LSTM model (see below) and trained it. My loss function is binary cross entropy as I'm doing binary classification. The training y data is a set of 0's and 1's.
When I run model.predict(x_test_scaled) I get a set single series with values ranging between 0 and 1. I'm... | https://stackoverflow.com/questions/65764544/what-does-keras-model-predict-output | python, tensorflow, keras, sequential | 1,610,908,659 |
se_79873343 | stackoverflow | MACHINE_LEARNING | RuntimeError: Failed to import transformers ('NoneType' object has no attribute 'split') with Python 3.11, TensorFlow 2.15 & Docker | RuntimeError: Failed to import transformers ('NoneType' object has no attribute 'split') with Python 3.11, TensorFlow 2.15 & Docker
I am encountering a critical RuntimeError during the startup of my Dockerized FastAPI application. The error occurs specifically when sentence_transformers attempts to... | https://stackoverflow.com/questions/79873343/runtimeerror-failed-to-import-transformers-nonetype-object-has-no-attribute | python, docker, tensorflow, huggingface-transformers, python-3.11 | 1,769,046,088 |
se_47267105 | stackoverflow | MACHINE_LEARNING | How to force PyCharm to evaluate tensorflow.contrib LazyLoader so it auto-completes? | How to force PyCharm to evaluate tensorflow.contrib LazyLoader so it auto-completes?
Python novice here...
If I only import TensorFlow's root package, auto-complete doesn't seem to work for tf.contrib due to that module being loaded through LazyLoader:
However, if I import tensorflow.contrib.learn, then PyCharm kn... | https://stackoverflow.com/questions/47267105/how-to-force-pycharm-to-evaluate-tensorflow-contrib-lazyloader-so-it-auto-comple | python, tensorflow, autocomplete, pycharm | 1,510,584,645 |
se_58474438 | stackoverflow | MACHINE_LEARNING | Difference between split() and tokenize() | Difference between split() and tokenize()
I am counting the number of unique words in a loaded text file. However I have realized that when I use split() and tensorflow_datasets tokenize() I get different results yet I thought they achieve the same thing. Here is my code. Can somebody help me know the difference betwe... | https://stackoverflow.com/questions/58474438/difference-between-split-and-tokenize | python, tensorflow, dataset, tokenize | 1,571,585,032 |
se_74117515 | stackoverflow | MACHINE_LEARNING | Why use lambda layers instead of just plain code? | Why use lambda layers instead of just plain code?
For example:
inp = keras.Input(shape=s)
D = keras.layers.Dense(d)(inp)
L = keras.layers.Lambda(lambda x: myFunc(x))(D)
outp = keras.layers.Dense(...)(L)
model = keras.model(inp,outp)
vs.
inp = keras.Input(shape=s)
D = keras.layers.Dense(d)(inp)
L = myFunc(D)
outp = ke... | https://stackoverflow.com/questions/74117515/why-use-lambda-layers-instead-of-just-plain-code | tensorflow, keras | 1,666,127,490 |
se_67347479 | stackoverflow | MACHINE_LEARNING | DeepSpeech failed to learn Persian language | DeepSpeech failed to learn Persian language
I’m training DeepSpeech from scratch (without checkpoint) with a language model generated using KenLM as stated in its doc. The dataset is a Common Voice dataset for Persian language.
My configurations are as follows:
Batch size = 2 (due to cuda OOM)
Learning rate = 0.0001
... | https://stackoverflow.com/questions/67347479/deepspeech-failed-to-learn-persian-language | tensorflow, machine-learning, speech-recognition, farsi, mozilla-deepspeech | 1,619,880,327 |
se_79559242 | stackoverflow | MACHINE_LEARNING | tflite-runtime ValueError: Didn't find op for builtin opcode 'FULLY_CONNECTED' version '12'. An older version of this builtin might be supported | tflite-runtime ValueError: Didn't find op for builtin opcode 'FULLY_CONNECTED' version '12'. An older version of this builtin might be supported
I have trained and quantised my models on tensorflow==2.19.0 instead of a previous version and now am facing troubles in using the quantised models for in... | https://stackoverflow.com/questions/79559242/tflite-runtime-valueerror-didnt-find-op-for-builtin-opcode-fully-connected-v | tensorflow, machine-learning, raspberry-pi, image-classification, tflite | 1,744,008,944 |
se_79819201 | stackoverflow | MACHINE_LEARNING | TensorFlow throws cuDNN/cuBLAS/cuFFT and MessageFactory errors on Kaggle | TensorFlow throws cuDNN/cuBLAS/cuFFT and MessageFactory errors on Kaggle
I am working on a Kaggle notebook where I am trying to import TensorFlow/Keras to build a simple neural network for tabular data.
However, even with Accelerator = None (CPU only), TensorFlow fails during import with multiple CUDA-related warnings... | https://stackoverflow.com/questions/79819201/tensorflow-throws-cudnn-cublas-cufft-and-messagefactory-errors-on-kaggle | python, tensorflow, keras, kaggle | 1,763,053,393 |
se_79865033 | stackoverflow | MACHINE_LEARNING | Cant Serialize and Deserialize ViT in Keras When Setting Classification = True | Cant Serialize and Deserialize ViT in Keras When Setting Classification = True
I have created ViT as follows:
@keras.utils.register_keras_serializable(package="ViT", name="ViT")
class ViT(keras.Model):
"""
Vision Transformer (ViT), based on: "Dosovitskiy et al.,
An Image is Worth 16x16 Words: Transformers... | https://stackoverflow.com/questions/79865033/cant-serialize-and-deserialize-vit-in-keras-when-setting-classification-true | python, tensorflow, keras | 1,768,057,183 |
se_79866087 | stackoverflow | MACHINE_LEARNING | Tensorflow C API: First TF_SessionPRun() complains "Local rendezvous is aborting with status: CANCELLED: PRun cancellation" and subsequent calls fail | Tensorflow C API: First TF_SessionPRun() complains "Local rendezvous is aborting with status: CANCELLED: PRun cancellation" and subsequent calls fail
I am trying to use TF_SessionPRun() from Tensorflow C API.
I want to do consecutive calculations over a period of time. I do not have all the data available at... | https://stackoverflow.com/questions/79866087/tensorflow-c-api-first-tf-sessionprun-complains-local-rendezvous-is-aborting | c, tensorflow, session, partial | 1,768,217,565 |
se_79857944 | stackoverflow | MACHINE_LEARNING | How to serialize and deserialize a Keras Layer when a submodule is passed as a class | How to serialize and deserialize a Keras Layer when a submodule is passed as a class
I’m implementing a 3D U-Net in TensorFlow/Keras. I have a custom Encoder layer which takes a basic_module argument. This argument is a class that inherits from keras.layers.Layer (e.g., DoubleConv or ResNetBlock) and is instantiated i... | https://stackoverflow.com/questions/79857944/how-to-serialize-and-deserialize-a-keras-layer-when-a-submodule-is-passed-as-a-c | python, tensorflow, keras | 1,767,152,209 |
se_79862631 | stackoverflow | MACHINE_LEARNING | Problem with DWT3D with Custom Keras Layer | Problem with DWT3D with Custom Keras Layer
I'm trying to integrate the TFDWT library's DWT3D layer into a custom Keras layer.
import tensorflow as tf
import keras
from TFDWT.DWT3DFB import DWT3D
class DWTLayer(keras.layers.Layer):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.dwt3d... | https://stackoverflow.com/questions/79862631/problem-with-dwt3d-with-custom-keras-layer | python, tensorflow, keras | 1,767,805,473 |
se_79861393 | stackoverflow | MACHINE_LEARNING | What is the most reliable face liveness detection model and dataset for real-world mobile apps? | What is the most reliable face liveness detection model and dataset for real-world mobile apps?
I’m working on face liveness (anti-spoofing) detection intended for real-world mobile apps (Flutter), and I’m struggling to achieve reliable performance outside controlled datasets.
What I’m trying to achieve
A production-... | https://stackoverflow.com/questions/79861393/what-is-the-most-reliable-face-liveness-detection-model-and-dataset-for-real-wor | python, android, tensorflow, machine-learning, computer-vision | 1,767,683,894 |
se_79325528 | stackoverflow | MACHINE_LEARNING | How to supply sample weights to Tensorflow dataset in R | How to supply sample weights to Tensorflow dataset in R
I am trying to set up a dataset in R to run a neural network using TensorFlow, but I can't seem to figure out the right code to allow sample weights to be specified.
The input array is image_data and is of shape [200000, 50, 50, 3].
The output array is label_data... | https://stackoverflow.com/questions/79325528/how-to-supply-sample-weights-to-tensorflow-dataset-in-r | r, tensorflow, dataset, sample, weighted | 1,735,880,247 |
se_79860774 | stackoverflow | MACHINE_LEARNING | How does TensorFlow handle backpropagation through mixed real and complex functions? | How does TensorFlow handle backpropagation through mixed real and complex functions?
I'm training an end-to-end communication system using TensorFlow and Sionna that involves multiple functions with mixed real and complex domains.
My system pipeline look something like this:
import tensorflow as tf
# input: real-valu... | https://stackoverflow.com/questions/79860774/how-does-tensorflow-handle-backpropagation-through-mixed-real-and-complex-functi | python, tensorflow, backpropagation, automatic-differentiation | 1,767,616,866 |
se_79859979 | stackoverflow | MACHINE_LEARNING | Keras Conv3D input shape clarification: spatial dimensions vs width/height/depth | Keras Conv3D input shape clarification: spatial dimensions vs width/height/depth
I'm trying to use Conv3D in Keras and the documentation is a bit confusing regarding the input shape.
The Conv3D docs say:
This layer creates a convolution kernel that is convolved with the layer input over a 3D spatial (or temporal) dim... | https://stackoverflow.com/questions/79859979/keras-conv3d-input-shape-clarification-spatial-dimensions-vs-width-height-depth | python, tensorflow, keras | 1,767,495,610 |
se_78879990 | stackoverflow | MACHINE_LEARNING | ImportError: cannot import name 'runtime_version' from 'google.protobuf' in TensorFlow Object Detection API | ImportError: cannot import name 'runtime_version' from 'google.protobuf' in TensorFlow Object Detection API
I'm encountering an ImportError when trying to run the TensorFlow Object Detection API's test script. The error message is:
(tfod) dev@dev:/media/dev/96E0A5D3E0A5BA3F/tfod/models/research$ python... | https://stackoverflow.com/questions/78879990/importerror-cannot-import-name-runtime-version-from-google-protobuf-in-tens | python, tensorflow, protocol-buffers, importerror, object-detection-api | 1,723,824,536 |
se_78688232 | stackoverflow | MACHINE_LEARNING | Is there any way to speed up the prediction of a model? | Is there any way to speed up the prediction of a model?
We are currently building Neural Network using keras and tensorflow for evaluating chess positions. And we have encountered the problem with speed of prediction on a single sample, which is used in our search tree. The usage in the search tree is to check for leg... | https://stackoverflow.com/questions/78688232/is-there-any-way-to-speed-up-the-prediction-of-a-model | python, tensorflow, keras, neural-network, chess | 1,719,741,440 |
se_34199233 | stackoverflow | MACHINE_LEARNING | How can I prevent TensorFlow from allocating the totality of a GPU memory? | How can I prevent TensorFlow from allocating the totality of a GPU memory?
I work in an environment in which computational resources are shared, i.e., we have a few server machines equipped with a few Nvidia Titan X GPUs each.
For small to moderate size models, the 12 GB of the Titan X is usually enough for 2–3 people... | https://stackoverflow.com/questions/34199233/how-can-i-prevent-tensorflow-from-allocating-the-totality-of-a-gpu-memory | python, tensorflow, tensorflow2.0, nvidia-titan | 1,449,742,791 |
se_33633370 | stackoverflow | MACHINE_LEARNING | How can I print the value of a Tensor object in TensorFlow? | How can I print the value of a Tensor object in TensorFlow?
I have been using the introductory example of matrix multiplication in TensorFlow.
matrix1 = tf.constant([[3., 3.]])
matrix2 = tf.constant([[2.],[2.]])
product = tf.matmul(matrix1, matrix2)
When I print the product, it is displaying it as a Tensor object:
<t... | https://stackoverflow.com/questions/33633370/how-can-i-print-the-value-of-a-tensor-object-in-tensorflow | python, tensorflow, tensor | 1,447,168,798 |
se_79852347 | stackoverflow | MACHINE_LEARNING | How can AUC be correctly used with a softmax output, sparse integer labels and categorical_crossentropy for binary classification in Keras? | How can AUC be correctly used with a softmax output, sparse integer labels and categorical_crossentropy for binary classification in Keras?
I am working on a binary image classification task using TensorFlow/Keras (TensorFlow version: 2.19.0). My model architecture is a multimodal setup with two input branches (CT and... | https://stackoverflow.com/questions/79852347/how-can-auc-be-correctly-used-with-a-softmax-output-sparse-integer-labels-and-c | python, tensorflow, machine-learning, keras, transfer-learning | 1,766,334,938 |
se_58745778 | stackoverflow | MACHINE_LEARNING | Why does model.fit require two-dimensional tensors? And why does model.predict not accept scalar tensors? | Why does model.fit require two-dimensional tensors? And why does model.predict not accept scalar tensors?
I was learning TensorFlow.js when I noticed that model.fit has to take in two arguments, input and output, and some configurations. But the inputs were two-dimensional tensors that were written as follows:
let in... | https://stackoverflow.com/questions/58745778/why-does-model-fit-require-two-dimensional-tensors-and-why-does-model-predict-n | tensorflow, multidimensional-array, tensor, tensorflow.js | 1,573,119,418 |
se_79855982 | stackoverflow | MACHINE_LEARNING | Is my use of tf.distribute.MirroredStrategy and strategy.scope() correct and safe for multi-GPU training in Keras? | Is my use of tf.distribute.MirroredStrategy and strategy.scope() correct and safe for multi-GPU training in Keras?
I am training a model using Keras + TensorFlow with tf.distribute.MirroredStrategy on a multi-GPU setup. I would like to verify that I am using strategy.scope() correctly.
import time
import logging
impo... | https://stackoverflow.com/questions/79855982/is-my-use-of-tf-distribute-mirroredstrategy-and-strategy-scope-correct-and-saf | python, tensorflow, keras, deep-learning | 1,766,874,442 |
se_79851506 | stackoverflow | MACHINE_LEARNING | Cannot install Tensorflow GPU on Win 11 | Cannot install Tensorflow GPU on Win 11
i was training AI in my pc using tensorflow with CPU due i have a amd GPU, well i bought a Nvidia RTX 5060 TI 16GB and i couldn't make it work.
First, i made a new environment with anaconda, installed tensorflow, matplolib, opencv, notebook, numpy normally, also installed cudato... | https://stackoverflow.com/questions/79851506/cannot-install-tensorflow-gpu-on-win-11 | python, tensorflow, cuda, anaconda | 1,766,187,747 |
se_56969703 | stackoverflow | MACHINE_LEARNING | How to use `tf.scatter_nd` with multi-dimensional tensors | How to use `tf.scatter_nd` with multi-dimensional tensors
I'm trying to create a new tensor (output) with the values of another tensor (updates) placed according to the idx tensor. The shape of output should be [batch_size, 1, 4, 4] (like an image of 2x2 pixels and one channel), and update has shape [batch_size, 3].
I... | https://stackoverflow.com/questions/56969703/how-to-use-tf-scatter-nd-with-multi-dimensional-tensors | python, tensorflow, keras | 1,562,757,901 |
se_79852884 | stackoverflow | MACHINE_LEARNING | How to dynamically estimate maximum number of cameras my GPU can handle for YOLOv8 inference? | How to dynamically estimate maximum number of cameras my GPU can handle for YOLOv8 inference?
I’m trying to simulate multiple camera streams feeding into a YOLOv8l model on a single GPU and monitor real-time hardware utilization. My setup:
Single GPU (48GB VRAM, CUDA-enabled)
YOLOv8l model
Simulating N cameras with... | https://stackoverflow.com/questions/79852884/how-to-dynamically-estimate-maximum-number-of-cameras-my-gpu-can-handle-for-yolo | python, tensorflow, deep-learning, pytorch, nvidia | 1,766,406,199 |
se_40755610 | stackoverflow | MACHINE_LEARNING | IOError: [Errno 28] No space left on device while installing TensorFlow | IOError: [Errno 28] No space left on device while installing TensorFlow
I am trying to install TensorFlow in my local directory using the following command.
export TF_BINARY_URL=http://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
pip install --install-option="--prefix=$PYTH... | https://stackoverflow.com/questions/40755610/ioerror-errno-28-no-space-left-on-device-while-installing-tensorflow | python, linux, python-2.7, pip, tensorflow | 1,479,872,363 |
se_78365339 | stackoverflow | MACHINE_LEARNING | Arguments `target` and `output` must have the same rank (ndim) | Arguments `target` and `output` must have the same rank (ndim)
i'm working with a multioutput tensorflow model, just for learning purposes, that should output 1 numerical and 1 categorical data (6 classes).
everything seems to be fine, well-defined, but when i fit the model it errors saying "ValueError: Arguments targ... | https://stackoverflow.com/questions/78365339/arguments-target-and-output-must-have-the-same-rank-ndim | python, tensorflow | 1,713,779,403 |
se_60609585 | stackoverflow | MACHINE_LEARNING | Good performance with Accuracy but not with Dice loss in Image Segmentation | Good performance with Accuracy but not with Dice loss in Image Segmentation
I'm doing image segmentation with U-Net like architecture on Tensorflow w/Keras but I'm new in Deep Learning.
I've got this dataset with the following set shapes:
Train : X : (175250, 30, 30, 6) Y: (175250, 30, 30)
Validation: X: (29200, 30,... | https://stackoverflow.com/questions/60609585/good-performance-with-accuracy-but-not-with-dice-loss-in-image-segmentation | python, tensorflow, deep-learning, conv-neural-network, tf.keras | 1,583,795,952 |
se_79818788 | stackoverflow | MACHINE_LEARNING | Why does TFLite INT8 quantization decompose BatchMatMul (from Einsum) into many FullyConnected layers? | Why does TFLite INT8 quantization decompose BatchMatMul (from Einsum) into many FullyConnected layers?
I’m debugging a model conversion using onnx2tf and post-training quantization issue involving Einsum, BatchMatMul, and FullyConnected layers across different model formats.
Pipeline:
ONNX → TF SavedModel → TFLite (fl... | https://stackoverflow.com/questions/79818788/why-does-tflite-int8-quantization-decompose-batchmatmul-from-einsum-into-many | tensorflow, onnx, quantization, tflite, einsum | 1,763,033,189 |
se_41455101 | stackoverflow | MACHINE_LEARNING | What is the meaning of the word logits in TensorFlow? | What is the meaning of the word logits in TensorFlow?
In the following TensorFlow function, we must feed the activation of artificial neurons in the final layer. That I understand. But I don't understand why it is called logits? Isn't that a mathematical function?
loss_function = tf.nn.softmax_cross_entropy_with_log... | https://stackoverflow.com/questions/41455101/what-is-the-meaning-of-the-word-logits-in-tensorflow | tensorflow, machine-learning, neural-network, deep-learning, cross-entropy | 1,483,495,351 |
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