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_77617031 | stackoverflow | MACHINE_LEARNING | Converting HuggingFace Tokenizer to TensorFlow Keras Layer | Converting HuggingFace Tokenizer to TensorFlow Keras Layer
I am struggling to understand how to perform inference with a pre-trained HuggingFace model loaded as a TensorFlow Keras model.
Context
In my case, I am trying to fine-tune a pre-trained DistilBert classifier. I have something as follows to preprocess my data ... | https://stackoverflow.com/questions/77617031/converting-huggingface-tokenizer-to-tensorflow-keras-layer | python, tensorflow, keras, huggingface-transformers | 1,701,908,915 |
se_79536204 | stackoverflow | MACHINE_LEARNING | How can I save a model with input shape (1, None, None, 3) with None fixed to 256? | How can I save a model with input shape (1, None, None, 3) with None fixed to 256?
I have questions about a model obtained from TensorFlow Hub.
I am trying to use "movenet" with the following source code.
https://www.kaggle.com/models/google/movenet/tensorFlow2
(1) The Input Shape of this model is (1, None, None, 3), ... | https://stackoverflow.com/questions/79536204/how-can-i-save-a-model-with-input-shape-1-none-none-3-with-none-fixed-to-25 | tensorflow, tensorflow-lite, tensorflow-hub, movenet | 1,742,987,048 |
se_79558834 | stackoverflow | MACHINE_LEARNING | tuple has no attribute "rank" error when trying to build bayesian neural net | tuple has no attribute "rank" error when trying to build bayesian neural net
I'm trying to build a BNN but am encountering the error in the title. I tried to ensure I'm not passing a tuple to .shape.rank by :
using the functional API with explicit Input (should make first denseflipout layer see a tensor, no... | https://stackoverflow.com/questions/79558834/tuple-has-no-attribute-rank-error-when-trying-to-build-bayesian-neural-net | python, tensorflow, keras, neural-network, bayesian-networks | 1,743,980,366 |
se_79561611 | stackoverflow | MACHINE_LEARNING | Q-values output is NaN in DQN model - input state is normalized and padded | Q-values output is NaN in DQN model - input state is normalized and padded
I'm training a Deep Q-Network (DQN) to trade crypto using historical data. My model keeps outputting NaN values for the Q-values during prediction. I'm using a custom function getState2() to generate the state, and the state is then passed into... | https://stackoverflow.com/questions/79561611/q-values-output-is-nan-in-dqn-model-input-state-is-normalized-and-padded | python, tensorflow, keras, deep-learning | 1,744,103,185 |
se_38303974 | stackoverflow | MACHINE_LEARNING | tensorflow running error with cublas | tensorflow running error with cublas
when I successfully install tensorflow on cluster, I immediately running mnist demo to check if it's going well, but here I came up with a problem. I don't know what is this all about, but it looks like the error is coming from CUDA
python3 -m tensorflow.models.image.mnist.convolu... | https://stackoverflow.com/questions/38303974/tensorflow-running-error-with-cublas | gpu, tensorflow, deep-learning, cublas | 1,468,230,812 |
se_79560710 | stackoverflow | MACHINE_LEARNING | Getting an error "AttributeError: module 'tensorflow.python.distribute.input_lib' has no attribute 'DistributedDatasetInterface'" | Getting an error "AttributeError: module 'tensorflow.python.distribute.input_lib' has no attribute 'DistributedDatasetInterface'"
After running the code
train(train_data, EPOCHS)
I'm getting error
"AttributeError: module
'tensorflow.python.distribute.input_lib' has no attribute 'Distributed... | https://stackoverflow.com/questions/79560710/getting-an-error-attributeerror-module-tensorflow-python-distribute-input-lib | python, tensorflow, keras | 1,744,056,665 |
se_78857269 | stackoverflow | MACHINE_LEARNING | add_hparams() function from TensorBoard doesn't work properly | add_hparams() function from TensorBoard doesn't work properly
I'm trying to add metrics to this SummaryWriter, but it's not working.
I'm using the add_hparams() function of SummaryWriter, the details of which can be found here: https://pytorch.org/docs/stable/tensorboard.html.
I'm doing it this way:
writer = Summa... | https://stackoverflow.com/questions/78857269/add-hparams-function-from-tensorboard-doesnt-work-properly | python, python-3.x, tensorflow, machine-learning, tensorboard | 1,723,335,716 |
se_59072728 | stackoverflow | MACHINE_LEARNING | What is the rule to know how many LSTM cells and how many units in each LSTM cell do you need in Keras? | What is the rule to know how many LSTM cells and how many units in each LSTM cell do you need in Keras?
I know that a LSTM cell has a number of ANNs inside.
But when defining the hidden layer for the same problem, I have seen some people using only 1 LSTM cell and others use 2, 3 LSTM cells like this -
model = Seq... | https://stackoverflow.com/questions/59072728/what-is-the-rule-to-know-how-many-lstm-cells-and-how-many-units-in-each-lstm-cel | python, tensorflow, keras, lstm, recurrent-neural-network | 1,574,865,911 |
se_79560295 | stackoverflow | MACHINE_LEARNING | Getting reproducible results in keras | Getting reproducible results in keras
I am currently running my CNN model using Keras, but the problem is that in each run, there are inconsistencies in the result (non-deterministic). I tried these, but the problem is that it is computationally expensive. Are there any ways to balance the tradeoff between speed and a... | https://stackoverflow.com/questions/79560295/getting-reproducible-results-in-keras | tensorflow, keras | 1,744,040,598 |
se_57048362 | stackoverflow | MACHINE_LEARNING | Keras: Multiple outputs, loss only a function of one? | Keras: Multiple outputs, loss only a function of one?
I have a setup like this:
model = keras.Model(input,[output1,output2])
My loss function is only a function of output1. How do I tell Keras to ignore output2 for the purposes of computing loss? The best I have come up with is to generate a bogus loss function wh... | https://stackoverflow.com/questions/57048362/keras-multiple-outputs-loss-only-a-function-of-one | tensorflow, keras | 1,563,234,203 |
se_41585866 | stackoverflow | MACHINE_LEARNING | How to install Tensorflow for R | How to install Tensorflow for R
I had Tensorflow installed with Anaconda. Now I want use it in R and I need to reinstall Tensorflow, because the note here
NOTE: You should NOT install TensorFlow with Anaconda as there are
issues with the way Anaconda builds the python shared library that
prevent dynamic link... | https://stackoverflow.com/questions/41585866/how-to-install-tensorflow-for-r | r, tensorflow, installation, anaconda | 1,484,122,984 |
se_45516859 | stackoverflow | MACHINE_LEARNING | Differences between OpenCV image processing and tf.image processing | Differences between OpenCV image processing and tf.image processing
I recently switched out using OpenCV for Tensorflow's tf.image module for image processing. However, my validation accuracy dropped around 10%.
I believe the issue is related to
cv2.imread() vs. tf.image.decode_jpeg()
cv2.resize() vs. tf.image.resize... | https://stackoverflow.com/questions/45516859/differences-between-opencv-image-processing-and-tf-image-processing | python, image, tensorflow, opencv, image-processing | 1,501,890,025 |
se_79487152 | stackoverflow | MACHINE_LEARNING | MobileNetV3-Large TFLite Model Works in Notebook But Always Predicts the Same Class in Flutter App | MobileNetV3-Large TFLite Model Works in Notebook But Always Predicts the Same Class in Flutter App
I trained a 46-class image classification model using MobileNetV3-Large with TensorFlow/Keras and saved it as a .keras model. I converted it to TFLite using tf.lite.TFLiteConverter.from_keras_model()
When testing the TFL... | https://stackoverflow.com/questions/79487152/mobilenetv3-large-tflite-model-works-in-notebook-but-always-predicts-the-same-cl | python, flutter, tensorflow, keras, mobilenet | 1,741,193,338 |
se_79557330 | stackoverflow | MACHINE_LEARNING | how can i fix a problem regarding problem regarding 'L1Dist.call()' | how can i fix a problem regarding problem regarding 'L1Dist.call()'
class L1Dist(Layer):
def __init__(self, **kwargs):
super().__init__()
def call(self, input_embedding, validation_img):
return tf.math.abs(input_embedding - validation_img)
Signature of method 'L1Dist.call()' does not ... | https://stackoverflow.com/questions/79557330/how-can-i-fix-a-problem-regarding-problem-regarding-l1dist-call | python, tensorflow | 1,743,875,867 |
se_58562089 | stackoverflow | MACHINE_LEARNING | Why is ImageDataGenerator() performing poorly? | Why is ImageDataGenerator() performing poorly?
I am trying to build a image classification model, using ImageDataGenerator().
It seems that the model trains and performs poorly. The training loss stays at around 15 and the accuracy is barely 10%, the validation is about the same.
Just to see what would happen, I tri... | https://stackoverflow.com/questions/58562089/why-is-imagedatagenerator-performing-poorly | tensorflow, machine-learning, keras | 1,572,019,515 |
se_79546777 | stackoverflow | MACHINE_LEARNING | Saving and Loading Images for Tensorflow Lite | Saving and Loading Images for Tensorflow Lite
Planning on using Tensorflow Lite for image classification.
To test the model, using Fashion-MNIST database to create the model following a Tensorflow basic example from their website. Created and saved the model and want to test it in TF Lite.
I want to save an image from... | https://stackoverflow.com/questions/79546777/saving-and-loading-images-for-tensorflow-lite | python, tensorflow, deep-learning, python-imaging-library, tensorflow-lite | 1,743,438,821 |
se_79555794 | stackoverflow | MACHINE_LEARNING | Issues with Tensorflow and Tensorflow-io while training a CNN on Colab | Issues with Tensorflow and Tensorflow-io while training a CNN on Colab
I have been training some CNNs on Colab by Tensorflow and Tensorflow-io since January. The training of a model lasted more or less 30 mins till a couple of months ago. Now, since some weeks ago, after the importing of the latest versions of Tf and ... | https://stackoverflow.com/questions/79555794/issues-with-tensorflow-and-tensorflow-io-while-training-a-cnn-on-colab | python, tensorflow, deep-learning, google-colaboratory, tensorflow-io | 1,743,781,938 |
se_34982492 | stackoverflow | MACHINE_LEARNING | Restoring TensorFlow model | Restoring TensorFlow model
I'm trying to restore TensorFlow model. I followed this example:
http://nasdag.github.io/blog/2016/01/19/classifying-bees-with-google-tensorflow/
At the end of the code in the example I added these lines:
saver = tf.train.Saver()
save_path = saver.save(sess, "model.ckpt")
print("Model save... | https://stackoverflow.com/questions/34982492/restoring-tensorflow-model | python, tensorflow | 1,453,675,531 |
se_45160402 | stackoverflow | MACHINE_LEARNING | Multiple artificial neural networks | Multiple artificial neural networks
I am trying to set up a Multiple Artificial Neural Network as you can see here on image (a):
(source)
I want that each of the networks work independently on its own domain. The single networks must be built and trained for their specific task. The final decision will be make on the... | https://stackoverflow.com/questions/45160402/multiple-artificial-neural-networks | python, machine-learning, tensorflow | 1,500,363,427 |
se_79555912 | stackoverflow | MACHINE_LEARNING | Installing tflite-runtime in Raspberry Pi | Installing tflite-runtime in Raspberry Pi
Trying to install tflite-runtime in Raspberry Pi Zero but no success. Installed tflite without any issue, and even check if tflite-runtime is in pypi.org/simple, which it is. This is the errors I get:
(env) pi@raspberrypi:~ $ pip install tflite
Looking in indexes: https://pypi... | https://stackoverflow.com/questions/79555912/installing-tflite-runtime-in-raspberry-pi | tensorflow, tflite, raspberry-pi-zero | 1,743,785,966 |
se_79553837 | stackoverflow | MACHINE_LEARNING | Tensorflow Lite vs tflite | Tensorflow Lite vs tflite
My understanding is that tflite was developed to avoid installing the full package of Tensorflow in embedded system such Raspberry Pi, saving processing and power resources.
Following the directions from https://pypi.org/project/tflite/, the documentation is linked to https://ai.google.dev/ed... | https://stackoverflow.com/questions/79553837/tensorflow-lite-vs-tflite | tensorflow, raspberry-pi, tensorflow-lite | 1,743,708,716 |
se_38527722 | stackoverflow | MACHINE_LEARNING | Tensorflow: How to convert NaNs to a number? | Tensorflow: How to convert NaNs to a number?
I'm trying to calculate the entropy of the weights while training my graph and to use it for regularization. This of course involves w*tf.log(w), and as my weights are changing some of them are bound to get into a region which results in NaNs being returned.
Ideally I woul... | https://stackoverflow.com/questions/38527722/tensorflow-how-to-convert-nans-to-a-number | python, tensorflow, nan | 1,469,194,134 |
se_79552254 | stackoverflow | MACHINE_LEARNING | How to compile and run a model in Keras subclassing API? | How to compile and run a model in Keras subclassing API?
I am learning to use the TensorFlow Recommenders library and the subclassing API and have been working through the documentation. I would like to know how to run and review the output of the individual sub-models that feed into the final model.
I have recreated ... | https://stackoverflow.com/questions/79552254/how-to-compile-and-run-a-model-in-keras-subclassing-api | python, tensorflow, machine-learning, keras | 1,743,664,779 |
se_76594132 | stackoverflow | MACHINE_LEARNING | Tensorflow 2.0 is not detecting my GPU and pip install tensorflow-gpu won't work (legacy-install-failure) | Tensorflow 2.0 is not detecting my GPU and pip install tensorflow-gpu won't work (legacy-install-failure)
My GPU is not getting detected by Tensorflow. I installed the package using
pip3 install tensorflow
and wrote this script:
import tensorflow as tf
print(tf.__version__) # 2.13.0-rc2
print(tf.config.list_phys... | https://stackoverflow.com/questions/76594132/tensorflow-2-0-is-not-detecting-my-gpu-and-pip-install-tensorflow-gpu-wont-work | python, tensorflow, gpu | 1,688,205,365 |
se_79551206 | stackoverflow | MACHINE_LEARNING | ValueError: Unknown layer: 'TensorFlowOpLayer'. Please ensure you are using a keras.utils.custom_object_scope and that this object is included in the | ValueError: Unknown layer: 'TensorFlowOpLayer'. Please ensure you are using a keras.utils.custom_object_scope and that this object is included in the
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Dense, Concatenate, add, multiply
from t... | https://stackoverflow.com/questions/79551206/valueerror-unknown-layer-tensorflowoplayer-please-ensure-you-are-using-a-ke | python, tensorflow, keras | 1,743,614,862 |
se_76196362 | stackoverflow | MACHINE_LEARNING | I am trying to make an object detection app on flutter but it keeps crashing as soon as i press the button to open camera | I am trying to make an object detection app on flutter but it keeps crashing as soon as i press the button to open camera
I have been trying to make a flutter app which detects objects and puts bounding boxes around them. First when i got the camera feed it was working fine but when i loaded the model and tried to run... | https://stackoverflow.com/questions/76196362/i-am-trying-to-make-an-object-detection-app-on-flutter-but-it-keeps-crashing-as | flutter, dart, tensorflow, object-detection, tensorflow-lite | 1,683,494,748 |
se_44716150 | stackoverflow | MACHINE_LEARNING | How can I assign a class_weight in Keras in a simple way? | How can I assign a class_weight in Keras in a simple way?
Can anyone tell me what is the simplest way to apply class_weight in Keras when the dataset is unbalanced please?
I only have two classes in my target.
Thanks. | https://stackoverflow.com/questions/44716150/how-can-i-assign-a-class-weight-in-keras-in-a-simple-way | python, tensorflow, deep-learning, keras | 1,498,204,948 |
se_79550725 | stackoverflow | MACHINE_LEARNING | ERROR TypeError: Cannot read property 'back' of undefined [Component Stack] | ERROR TypeError: Cannot read property 'back' of undefined [Component Stack]
Error on this line of code
import '@tensorflow/tfjs-react-native';
**(NOBRIDGE) ERROR TypeError: Cannot read property 'back' of undefined **[Component Stack] | https://stackoverflow.com/questions/79550725/error-typeerror-cannot-read-property-back-of-undefined-component-stack | react-native, tensorflow, expo | 1,743,599,475 |
se_79547515 | stackoverflow | MACHINE_LEARNING | AttributeError When Updating Learning Rate in Keras Using K.set_value | AttributeError When Updating Learning Rate in Keras Using K.set_value
I'm trying to update the learning rate of my Keras model dynamically during training. I'm using the following code:
import tensorflow as tf
from tensorflow.keras import backend as K
model = keras.models.Sequential([keras.layers.Dense(10)])
model.co... | https://stackoverflow.com/questions/79547515/attributeerror-when-updating-learning-rate-in-keras-using-k-set-value | python, tensorflow, keras, learning-rate | 1,743,468,794 |
se_73830782 | stackoverflow | MACHINE_LEARNING | How to convert bert model output to json? | How to convert bert model output to json?
I have fine-tuned a Bert model and testing my output from different layers. I tested this in sagemaker , with my own custom script (see below) and the output i get is of BaseModelOutputWithPoolingAndCrossAttentions class. How can i convert the output of this , specially the te... | https://stackoverflow.com/questions/73830782/how-to-convert-bert-model-output-to-json | python, json, tensorflow, amazon-sagemaker, bert-language-model | 1,663,951,602 |
se_64337550 | stackoverflow | MACHINE_LEARNING | Neither PyTorch nor TensorFlow >= 2.0 have been found.Models won't be available and only tokenizers, configuration and file/data utilities can be used | Neither PyTorch nor TensorFlow >= 2.0 have been found.Models won't be available and only tokenizers, configuration and file/data utilities can be used
I am trying to install transformers using pip
pip install transformers
after import transformers
this error show
Neither PyTorch nor TensorFlow >= 2.0 have been... | https://stackoverflow.com/questions/64337550/neither-pytorch-nor-tensorflow-2-0-have-been-found-models-wont-be-available | python, tensorflow, nlp | 1,602,600,570 |
se_76248184 | stackoverflow | MACHINE_LEARNING | Keras tuning that prefers faster models? | Keras tuning that prefers faster models?
I'm trying to tune hyperparameters to get a sense of what values are best in tensorflow keras models. I'm going to use the best model in a minimax algorithm, so speed of evaluation is important due to the amount of estimations for the algorithm. Also, the speed of tuning is mad... | https://stackoverflow.com/questions/76248184/keras-tuning-that-prefers-faster-models | python, tensorflow, machine-learning, keras, deep-learning | 1,684,076,869 |
se_79543125 | stackoverflow | MACHINE_LEARNING | TensorFlow Installation Fails on Python 3.12: Compatibility Issues with Python Versions | TensorFlow Installation Fails on Python 3.12: Compatibility Issues with Python Versions
I'm trying to install TensorFlow , but I keep encountering installation issues due to Python version compatibility. I’m using Python 3.12, but I get an error message indicating that TensorFlow doesn’t support Python 3.12, and sever... | https://stackoverflow.com/questions/79543125/tensorflow-installation-fails-on-python-3-12-compatibility-issues-with-python-v | tensorflow, installation, conda, python-3.12 | 1,743,245,693 |
se_48288839 | stackoverflow | MACHINE_LEARNING | tensorflow cannot import name container_types | tensorflow cannot import name container_types
I've just compiled tensorflow from source code with GPU support on OSX.
This was with a few hick-ups and hacks along the way:
based on this issue I've checkout commit 49dcb6c769d60206eb845eb249fa3ef6bc333457 from the 24th of August 2017 (to get past the XLA namespace re... | https://stackoverflow.com/questions/48288839/tensorflow-cannot-import-name-container-types | python, macos, tensorflow, build | 1,516,132,388 |
se_75503580 | stackoverflow | MACHINE_LEARNING | Image classification Using CNN | Image classification Using CNN
I am working on breast cancer classification. I found this online code to train my pre-processed outputs on it. The results was awful but I didn't understand the code, I want to train my own model but I don't how to replace my own code with this one.
Any help would be appreciated.
in_mod... | https://stackoverflow.com/questions/75503580/image-classification-using-cnn | python, tensorflow, keras, conv-neural-network, image-classification | 1,676,842,045 |
se_55318273 | stackoverflow | MACHINE_LEARNING | Tensorflow._api.v2.train has no attribute 'AdamOptimizer' | Tensorflow._api.v2.train has no attribute 'AdamOptimizer'
When using
model.compile(optimizer = tf.train.AdamOptimizer(),
loss = 'sparse_categorical_crossentropy',
metrics=['accuracy'])
in my Jupyter Notebook the following Error pops up:
module 'tensorflow._api.v2.train' has no ... | https://stackoverflow.com/questions/55318273/tensorflow-api-v2-train-has-no-attribute-adamoptimizer | python, tensorflow | 1,553,374,458 |
se_79363695 | stackoverflow | MACHINE_LEARNING | deploying a Tensorflow model artifact to Sagemaker | deploying a Tensorflow model artifact to Sagemaker
I am trying to deploy a TensorFlow model to a Sagemaker endpoint. I have the model artifact at generic_graph.pb and the model's labels at labels.txt.
I started by creating a tar file with the following contents:
# #model directory structure
# #model.tar.gz
# └── <mod... | https://stackoverflow.com/questions/79363695/deploying-a-tensorflow-model-artifact-to-sagemaker | amazon-web-services, tensorflow, machine-learning, amazon-sagemaker | 1,737,091,156 |
se_79545147 | stackoverflow | MACHINE_LEARNING | Keras EfficientNet model not working at all | Keras EfficientNet model not working at all
I have built model basing on udemy training. I use PyCharm instead of Jupyter. I trained below model and always results are like below, does not matter which efficientnet model is picked up, no matter how many epochs, 1, 10, 20. All images are predicted sad:
🔍 VALIDATION RE... | https://stackoverflow.com/questions/79545147/keras-efficientnet-model-not-working-at-all | tensorflow, keras | 1,743,367,933 |
se_41442687 | stackoverflow | MACHINE_LEARNING | Does make sense use dynamic learning rate in AdamOptimizer? | Does make sense use dynamic learning rate in AdamOptimizer?
I'm dvelopping a convolutional neural network for images recognition based on three own classes.
I built an AlexNet-based model to train.
I'd like to know two things:
AdamOptimizer performs a learning rate decay internally (from a fixed given value) or not ... | https://stackoverflow.com/questions/41442687/does-make-sense-use-dynamic-learning-rate-in-adamoptimizer | tensorflow, deep-learning | 1,483,443,580 |
se_47299624 | stackoverflow | MACHINE_LEARNING | How to understand loss, acc, val_loss, val_acc in Keras model fitting? | How to understand loss, acc, val_loss, val_acc in Keras model fitting?
Here are my Keras model results (train on 4160 samples, validate on 1040 samples):
Epoch 1/20
4160/4160 - loss: 3.3455 - acc: 0.1560 - val_loss: 1.6047 - val_acc: 0.4721
Epoch 2/20
4160/4160 - loss: 1.7639 - acc: 0.4274 - val_loss: 0.7060 - val_ac... | https://stackoverflow.com/questions/47299624/how-to-understand-loss-acc-val-loss-val-acc-in-keras-model-fitting | tensorflow, machine-learning, keras, deep-learning | 1,510,721,765 |
se_72094542 | stackoverflow | MACHINE_LEARNING | ran into TensorFlow ValueError during my TensorFlow Course with Udemy | ran into TensorFlow ValueError during my TensorFlow Course with Udemy
I have being trying to fit the error during my Tensorflow course (Section 3: Neural network Regression with Tensorflow) with Udemy.
import tensorflow as tf
import numpy as np
X = np.array([-8.0, -5.0, -2.0, 1.0, 4.0, 7.0, 10.0, 13.0])
y = np.array(... | https://stackoverflow.com/questions/72094542/ran-into-tensorflow-valueerror-during-my-tensorflow-course-with-udemy | tensorflow, keras, deep-learning, neural-network | 1,651,548,349 |
se_79540861 | stackoverflow | MACHINE_LEARNING | can't load the saved model YOLOV8Backbone from keras_cv after thefine-tuning | can't load the saved model YOLOV8Backbone from keras_cv after thefine-tuning
checkpoint_filepath='E:\model.yolo_v8_s_ft.h5'
# backbone = keras_cv.models.YOLOV8Backbone.from_preset("yolo_v8_m_backbone_coco")
backbone = keras.models.load_model(checkpoint_filepath)
yolo = keras_cv.models.YOLOV8Detector(
num_cl... | https://stackoverflow.com/questions/79540861/cant-load-the-saved-model-yolov8backbone-from-keras-cv-after-thefine-tuning | python, tensorflow, keras, neural-network, keras-cv | 1,743,149,832 |
se_73776335 | stackoverflow | MACHINE_LEARNING | How to convert image in fast fourier transform signal? | How to convert image in fast fourier transform signal?
I am trying to convert image into fast fourier transform signal and used the following peace of code:
fake_A1 = tf.signal.fft2d(fake_A1)
where input image type is: <class 'numpy.ndarray'> but I am getting following error:
tensorflow.python.framework.errors_impl.I... | https://stackoverflow.com/questions/73776335/how-to-convert-image-in-fast-fourier-transform-signal | python, tensorflow, keras | 1,663,603,792 |
se_59372863 | stackoverflow | MACHINE_LEARNING | Error Importing TensorFlow: Failed to load the native tensorflow runtime | Error Importing TensorFlow: Failed to load the native tensorflow runtime
I was trying to install tensorflow with pip and it was successful.
I have seen other answers but I don't understand them.
But when I tried to import tensorflow the following error showed up:
Traceback (most recent call last):
File "C:\Users\D... | https://stackoverflow.com/questions/59372863/error-importing-tensorflow-failed-to-load-the-native-tensorflow-runtime | python, tensorflow | 1,576,580,557 |
se_79532719 | stackoverflow | MACHINE_LEARNING | My Google Colab GPU refuses to work. It gets connected and also shows that it's connected, but when I train or run anything, my system RAM gets used | My Google Colab GPU refuses to work. It gets connected and also shows that it's connected, but when I train or run anything, my system RAM gets used
My Google Colab GPU doesn't get used even when I am connected to it. I'm trying to run a PyTorch model on Google Colab using the free GPU, but it seems that my code i... | https://stackoverflow.com/questions/79532719/my-google-colab-gpu-refuses-to-work-it-gets-connected-and-also-shows-that-its | tensorflow, pytorch, gpu, google-colaboratory | 1,742,877,992 |
se_79537679 | stackoverflow | MACHINE_LEARNING | Why is tensorflow not recognizing my gpu after installing it with anaconda | Why is tensorflow not recognizing my gpu after installing it with anaconda
So im trying to use tensorflow with my yolov8 project but for some reason it is not recognizing my gpu. I had originally installed it using pip but i was told i should use conda instead, so i switched to that but still no luck
import tensorflow... | https://stackoverflow.com/questions/79537679/why-is-tensorflow-not-recognizing-my-gpu-after-installing-it-with-anaconda | python, tensorflow, anaconda, gpu, nvidia | 1,743,041,868 |
se_78418499 | stackoverflow | MACHINE_LEARNING | Using tensorflow with GPU on Docker on Ubuntu | Using tensorflow with GPU on Docker on Ubuntu
I've been struggling to the problem written below for many days and would like you to help me.
What I want to do is to use tensorflow with GPU on Docker on Ubuntu.
My GPU is GeForce GTX 1070, and my OS is Ubuntu 22.04.3 LTS
I've installed Docker
$ docker --version
Docker ... | https://stackoverflow.com/questions/78418499/using-tensorflow-with-gpu-on-docker-on-ubuntu | docker, tensorflow, ubuntu, cuda | 1,714,645,626 |
se_37863377 | stackoverflow | MACHINE_LEARNING | Can I installed tensorflow for python 2.7 and 3.5 on my machine simultaneously? | Can I installed tensorflow for python 2.7 and 3.5 on my machine simultaneously?
Currently I have Python 2.7, Python 3.5, Tensorflow for Python 3.5 installed on my machine (MAC OX) via Anaconda. I would like to install Tensorflow for Python 2.7 on my machine as well.
When I tried "conda create -n tensorflow python=2... | https://stackoverflow.com/questions/37863377/can-i-installed-tensorflow-for-python-2-7-and-3-5-on-my-machine-simultaneously | python-2.7, python-3.x, installation, tensorflow, anaconda | 1,466,090,724 |
se_79536194 | stackoverflow | MACHINE_LEARNING | Jupyter | The kernel appears to have died. It will restart automatically | keras.models.Sequential | Jupyter | The kernel appears to have died. It will restart automatically | keras.models.Sequential
I am building my deep learning model using Sequential model, while I am executing the model.fit my jupyter notebook dies with message The kernel appears to have died. It will restart automatically.
model_class = tf.keras... | https://stackoverflow.com/questions/79536194/jupyter-the-kernel-appears-to-have-died-it-will-restart-automatically-keras | tensorflow, machine-learning, jupyter-notebook | 1,742,986,623 |
se_79536449 | stackoverflow | MACHINE_LEARNING | Tensorflow: Model out of memory - preallocated temp allocation extremely large | Tensorflow: Model out of memory - preallocated temp allocation extremely large
I am trying to reduce the memory requirements of a model I am working with. The model, which I cannot share in its entirety, is not large, only about 600k parameters. The main part consists of two time-convolutional neural networks (running... | https://stackoverflow.com/questions/79536449/tensorflow-model-out-of-memory-preallocated-temp-allocation-extremely-large | tensorflow, out-of-memory, recurrent-neural-network | 1,742,992,915 |
se_71335585 | stackoverflow | MACHINE_LEARNING | HuggingFace | ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet con | HuggingFace | ValueError: Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet con
Not always, but occasionally when running my code this error appears. At first, I doubted it was a connectivity issue but to do with cashing issue, as discussed on an o... | https://stackoverflow.com/questions/71335585/huggingface-valueerror-connection-error-and-we-cannot-find-the-requested-fil | python-3.x, tensorflow, huggingface-transformers, valueerror, gpt-2 | 1,646,303,304 |
se_45349950 | stackoverflow | MACHINE_LEARNING | Why do I get a low accuracy in this neural network? | Why do I get a low accuracy in this neural network?
I have made a convolutional neural network with tensorflow, i've trained it and tested it (about 98% accuracy)... I saved the model with
saver = tf.train.Saver()
saver.save(sess, 'model.ckpt')
Then i restored with the saver, but i always get an accuracy lower tha... | https://stackoverflow.com/questions/45349950/why-do-i-get-a-low-accuracy-in-this-neural-network | python-3.x, image-processing, tensorflow, deep-learning | 1,501,156,138 |
se_65777704 | stackoverflow | MACHINE_LEARNING | Getting a very low accuracy with Neural Network | Getting a very low accuracy with Neural Network
I am trying to implement ANN on a Cifar-10 dataset using keras
but for some reason I dont know I am getting only 10% accuracy ?
I have used 5 hidden layers iwth 8,16,32,64,128 neurons respectively.
This is the link to the jupyter notebook
model = Sequential()
model.add(D... | https://stackoverflow.com/questions/65777704/getting-a-very-low-accuracy-with-neural-network | python, tensorflow, machine-learning, keras, neural-network | 1,610,984,686 |
se_73780627 | stackoverflow | MACHINE_LEARNING | Neural network low accuracy | Neural network low accuracy
The model is getting really low accuracy. This is my first time writing a neural network so I dont really know how to make it better
import tensorflow as tf
import matplotlib.pyplot as plt
#data set
data = tf.keras.datasets.cifar10
(x_train, y_train), (x_test, y_test) = data.load_dat... | https://stackoverflow.com/questions/73780627/neural-network-low-accuracy | python, tensorflow, machine-learning, keras | 1,663,635,584 |
se_42613747 | stackoverflow | MACHINE_LEARNING | Tensorflow splitting training data to batches | Tensorflow splitting training data to batches
I have a dataset of images as a Numpy array. (Number of images, length, width, colour range) I would like to split it to batches and feed to tensorflow. What is the good way to do it? | https://stackoverflow.com/questions/42613747/tensorflow-splitting-training-data-to-batches | python, numpy, image, tensorflow | 1,488,746,654 |
se_40069883 | stackoverflow | MACHINE_LEARNING | How to set specific gpu in tensorflow? | How to set specific gpu in tensorflow?
I want to specify the gpu to run my process. And I set it as follows:
import tensorflow as tf
with tf.device('/gpu:0'):
a = tf.constant(3.0)
with tf.Session() as sess:
while True:
print sess.run(a)
However it still allocate memory in both my two gpus.
| 0 ... | https://stackoverflow.com/questions/40069883/how-to-set-specific-gpu-in-tensorflow | tensorflow | 1,476,618,478 |
se_69255861 | stackoverflow | MACHINE_LEARNING | tensorflow: Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found | tensorflow: Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
So im trying to do some machine learning, and i want to make use of my gpu.
Im on tensorflow version 2.6.0(i also tried tensorflow-gpu).I installed CUDA 11.2 and cuDNN 8.1. Added everything to PATH like it says h... | https://stackoverflow.com/questions/69255861/tensorflow-could-not-load-dynamic-library-cudart64-110-dll-dlerror-cudart64 | python, tensorflow, nvidia | 1,632,146,920 |
se_54665842 | stackoverflow | MACHINE_LEARNING | When importing tensorflow, I get the following error: No module named 'numpy.core._multiarray_umath' | When importing tensorflow, I get the following error: No module named 'numpy.core._multiarray_umath'
I have installed Ancaconda3 and Tensorflow. When I try to import Tensorflow in python shell I receive the following error:
ModuleNotFoundError: No module named 'numpy.core._multiarray_umath'
ImportError: numpy... | https://stackoverflow.com/questions/54665842/when-importing-tensorflow-i-get-the-following-error-no-module-named-numpy-cor | python-3.x, numpy, tensorflow, anaconda | 1,550,047,420 |
se_51422776 | stackoverflow | MACHINE_LEARNING | How do i add ctc beam search decoder in crnn model (pytorch) | How do i add ctc beam search decoder in crnn model (pytorch)
I am following the CRNN implementation of https://github.com/meijieru/crnn.pytorch, but seems like it is not using beam search for decoding the words. Can someone tell me how to add beam search decoding in the same model? At the same time in Tensorflow, ther... | https://stackoverflow.com/questions/51422776/how-do-i-add-ctc-beam-search-decoder-in-crnn-model-pytorch | tensorflow, deep-learning, ocr, speech-recognition, pytorch | 1,532,003,469 |
se_51580751 | stackoverflow | MACHINE_LEARNING | How does tf.nn.ctc_greedy_decoder generates output sequences in tensorflow? | How does tf.nn.ctc_greedy_decoder generates output sequences in tensorflow?
Given the logits (output from the RNN/Lstm/Gru in time major format i.e. (maxTime, batchSize, numberofClasses)), how does ctc greedy decoder performs decoding to generate output sequence.
I found this "Performs greedy decoding on the logits ... | https://stackoverflow.com/questions/51580751/how-does-tf-nn-ctc-greedy-decoder-generates-output-sequences-in-tensorflow | python, tensorflow | 1,532,870,728 |
se_53256877 | stackoverflow | MACHINE_LEARNING | How to convert keras(h5) file to a tflite file? | How to convert keras(h5) file to a tflite file?
I got an keras(h5) file. I need to convert it to tflite??
I researched, First i need to go via h5 -> pb -> tflite
(because h5 - tflite sometimes results in some issue) | https://stackoverflow.com/questions/53256877/how-to-convert-kerash5-file-to-a-tflite-file | python, tensorflow, machine-learning, keras | 1,542,003,931 |
se_79042776 | stackoverflow | MACHINE_LEARNING | Trouble creating a dataset from h5 file | Trouble creating a dataset from h5 file
I'm having a problem regarding the h5 file. Whenever I try to load it I get this error:
OSError: Can't read data (can't open directory: /opt/conda/envs/AE4353/lib/hdf5/plugin)
I can read the file without any problem, I'm providing the right path and I have everything I need ins... | https://stackoverflow.com/questions/79042776/trouble-creating-a-dataset-from-h5-file | python, python-3.x, tensorflow, dataset | 1,727,779,714 |
se_65461750 | stackoverflow | MACHINE_LEARNING | tensorflow.python.framework.errors_impl.UnknownError: Failed to rename; : Access is denied. ; Input/output error | tensorflow.python.framework.errors_impl.UnknownError: Failed to rename; : Access is denied. ; Input/output error
I am not able to download and load tensorflow dataset on my Windows 10 machine. It works okay on Google colab. Can someone please help me?
Code:
import tensorflow_datasets as tfds
datasets, info = tfds.loa... | https://stackoverflow.com/questions/65461750/tensorflow-python-framework-errors-impl-unknownerror-failed-to-rename-access | python, tensorflow, tensorflow2.x | 1,609,026,430 |
se_61688767 | stackoverflow | MACHINE_LEARNING | how does validation_split work in training a neural network model? | how does validation_split work in training a neural network model?
model.fit(X_train, y_train,
validation_data=(X_test, y_test), epochs=10, verbose=2)
in the above line of code model is a sequential keras model having layers and is compiled.
what is the use of the parameter validaiton_data. the model is go... | https://stackoverflow.com/questions/61688767/how-does-validation-split-work-in-training-a-neural-network-model | tensorflow, keras, deep-learning, neural-network | 1,588,975,102 |
se_45504710 | stackoverflow | MACHINE_LEARNING | dropout with relu activations | dropout with relu activations
I am trying to implement a neural network with dropout in tensorflow.
tf.layers.dropout(inputs, rate, training)
From the documentation:
Dropout consists in randomly setting a fraction rate of input units to 0 at each update during training time, which helps prevent overfitting. The unit... | https://stackoverflow.com/questions/45504710/dropout-with-relu-activations | tensorflow, machine-learning, neural-network, activation-function, dropout | 1,501,843,285 |
se_79455291 | stackoverflow | MACHINE_LEARNING | Tensorflow model training, List to numpy array conversion unevenly changes the shape of data | Tensorflow model training, List to numpy array conversion unevenly changes the shape of data
I am trying to predict LSDC from MRI images. For each study_id there are multiple images. Each study_id represents each patient. I want to predict 3 level of severity for 5 conditions on 5 levels.
I am trying to create dataset... | https://stackoverflow.com/questions/79455291/tensorflow-model-training-list-to-numpy-array-conversion-unevenly-changes-the-s | python, numpy, tensorflow, machine-learning, data-generation | 1,740,070,974 |
se_60393573 | stackoverflow | MACHINE_LEARNING | Classification Neural Network does not learn | Classification Neural Network does not learn
I am building a classification Neural Network in order to classify two different classes.
So it is a binary classification problem, I am trying to solve this task by using a feedforward neural network.
But the network is not able to learn, in fact, the accuracy never change... | https://stackoverflow.com/questions/60393573/classification-neural-network-does-not-learn | python, tensorflow, machine-learning, keras, neural-network | 1,582,630,095 |
se_68839526 | stackoverflow | MACHINE_LEARNING | Different accuracy on google colab | Different accuracy on google colab
I have this CNN:
def cnn(trainImages, trainLabels, testImages, testLabels):
trainImages = np.array(trainImages)
trainLabels = np.array(trainLabels)
testImages = np.array(testImages)
testLabels = np.array(testLabels)
trainImages = trainImages / 255
testImages ... | https://stackoverflow.com/questions/68839526/different-accuracy-on-google-colab | python, tensorflow, deep-learning, conv-neural-network, google-colaboratory | 1,629,322,012 |
se_79516764 | stackoverflow | MACHINE_LEARNING | Error when trying to replicate GPflow's Stochastic Variational Inference for Scalability SVGP notebook | Error when trying to replicate GPflow's Stochastic Variational Inference for Scalability SVGP notebook
I'm learning about Gaussian processes and I'm using GPflow to do some exercises and tests.
I was studying the notebook of Stochastic Variational Inference for scalability with SVGP (https://gpflow.github.io/GPflo... | https://stackoverflow.com/questions/79516764/error-when-trying-to-replicate-gpflows-stochastic-variational-inference-for-sca | python, tensorflow, gpflow | 1,742,286,122 |
se_79520746 | stackoverflow | MACHINE_LEARNING | implement a differentiable L0 regularizer to keras layer | implement a differentiable L0 regularizer to keras layer
What is the appropriate way to implement a differentiable variant of L0 regularizer (count the non-zero values in a Conv layer / matrix) to keras layer?
I was thinking of using r(x) = tanh(abs(f*x)) for x the matrix, where f is some factor that scales the range ... | https://stackoverflow.com/questions/79520746/implement-a-differentiable-l0-regularizer-to-keras-layer | python, tensorflow, keras, neural-network, loss-function | 1,742,400,052 |
se_57099613 | stackoverflow | MACHINE_LEARNING | How is teacher-forcing implemented for the Transformer training? | How is teacher-forcing implemented for the Transformer training?
In this part of Tensorflow's tutorial, they mentioned that they are training with teacher-forcing. To my knowledge, teacher-forcing involves feeding the target output into the model so that it converges faster. So I'm curious as to how this is done here?... | https://stackoverflow.com/questions/57099613/how-is-teacher-forcing-implemented-for-the-transformer-training | tensorflow, machine-learning, nlp, transformer-model | 1,563,469,945 |
se_78670807 | stackoverflow | MACHINE_LEARNING | model.fit() throwing errors with zipped Datasets | model.fit() throwing errors with zipped Datasets
I am working on a segmentation model and using ImageDataGenerator() to load and augment images and their masks. I am returning them as a zipped object
def create_segmentation_generator_train(img_path, msk_path, BATCH_SIZE):
data_gen_args = #augmentation code
dat... | https://stackoverflow.com/questions/78670807/model-fit-throwing-errors-with-zipped-datasets | python, tensorflow, keras, error-handling | 1,719,386,000 |
se_71756446 | stackoverflow | MACHINE_LEARNING | Fixing memory leak in tensorflow2 during loading the model | Fixing memory leak in tensorflow2 during loading the model
I am new to tensorflow-2 and I am experiencing a memory leak in my object detection application. I was able to track the section which causes the issue.
class TensorflowObjectDetector:
def __init__(self, saved_model_dir: str):
def detection_engin... | https://stackoverflow.com/questions/71756446/fixing-memory-leak-in-tensorflow2-during-loading-the-model | python, tensorflow, tensorflow2.0, object-detection, tf.keras | 1,649,181,813 |
se_60784634 | stackoverflow | MACHINE_LEARNING | How to implement Multi label classification with train, validation and test images with Densenet/ResNet | How to implement Multi label classification with train, validation and test images with Densenet/ResNet
I am working on Multi-Label Image classification using a dataset having 14,720 training images. I need to implement it using ResNet/DenseNet. I trying to work on it. Could you please suggest me a reference to move f... | https://stackoverflow.com/questions/60784634/how-to-implement-multi-label-classification-with-train-validation-and-test-imag | tensorflow, keras, deep-learning, conv-neural-network, multilabel-classification | 1,584,766,881 |
se_65451939 | stackoverflow | MACHINE_LEARNING | How does Tensorflow or Keras handle model weight inititialization and when does it happen? | How does Tensorflow or Keras handle model weight inititialization and when does it happen?
After reading the answer to this question I am a bit confused as to when exactly TensorFlow initializes the weight and bias variables.
As per the answers, Compile defines the loss function, the optimizer and the metrics. That's ... | https://stackoverflow.com/questions/65451939/how-does-tensorflow-or-keras-handle-model-weight-inititialization-and-when-does | tensorflow, keras, neural-network, transfer-learning | 1,608,931,709 |
se_79499210 | stackoverflow | MACHINE_LEARNING | tensorflow dataset loop endless will model.predict | tensorflow dataset loop endless will model.predict
I use this code to setup my dataset for trainning and predict:
train_dataset = train_dataset.batch(train_batch_sz)
train_dataset = train_dataset.repeat().prefetch(5)
test_dataset_sim = test_dataset
test_dataset = test_dataset.batch(test_batch_sz)
test_dataset = test_... | https://stackoverflow.com/questions/79499210/tensorflow-dataset-loop-endless-will-model-predict | python, tensorflow, dataset, tensorflow-datasets | 1,741,642,686 |
se_59308263 | stackoverflow | MACHINE_LEARNING | using a `tf.Tensor` as a Python `bool` is not allowed in Graph execution. Use Eager execution or decorate this function with @tf.function | using a `tf.Tensor` as a Python `bool` is not allowed in Graph execution. Use Eager execution or decorate this function with @tf.function
Currently I faced this error, can anyone help solve it?
---------------------------------------------------------------------------
OperatorNotAllowedInGraphError Traceb... | https://stackoverflow.com/questions/59308263/using-a-tf-tensor-as-a-python-bool-is-not-allowed-in-graph-execution-use-ea | python, tensorflow, keras | 1,576,165,658 |
se_79484562 | stackoverflow | MACHINE_LEARNING | ImageDataGenerator is throwing Invalid Argument Error | ImageDataGenerator is throwing Invalid Argument Error
I am working on an Image classification problem with ImageDataGenerator from the keras library. Here is what my script looks like
datagen = ImageDataGenerator(rescale=1./255, validation_split=0.2)
train_generator = datagen.flow_from_directory(
alzeihmers,
... | https://stackoverflow.com/questions/79484562/imagedatagenerator-is-throwing-invalid-argument-error | python, tensorflow, keras, deep-learning, conv-neural-network | 1,741,112,711 |
se_47053713 | stackoverflow | MACHINE_LEARNING | How to pass parameters in tensorflow | How to pass parameters in tensorflow
I want to train a network using tensorflow, I choose the "Inception_resnet_v2" as the net(from here), here is my train code,
def train(train_dir, annotations, max_step, checkpoint_dir='./checkpoint2/'):
# train the model
features = tf.placeholder("float32", shape=[None, IMA... | https://stackoverflow.com/questions/47053713/how-to-pass-parameters-in-tensorflow | python, tensorflow, tensor | 1,509,535,394 |
se_67305998 | stackoverflow | MACHINE_LEARNING | Can TensorFlow take external Python functions when training a NN? | Can TensorFlow take external Python functions when training a NN?
I am trying to train an autoencoder but having already known the decoder (which is a python function). My idea is to train the encoder and feed the latent space to an already known decoder, which is a function in python I already have. So, I am wonderin... | https://stackoverflow.com/questions/67305998/can-tensorflow-take-external-python-functions-when-training-a-nn | python, tensorflow, tensorflow2.0 | 1,619,634,767 |
se_61589976 | stackoverflow | MACHINE_LEARNING | Load numpy array from pandas dataframe into tensorflow dataset | Load numpy array from pandas dataframe into tensorflow dataset
I'm trying to load my pandas dataframe (df) into a Tensorflow dataset with the following command:
target = df['label']
features = df['encoded_sentence']
dataset = tf.data.Dataset.from_tensor_slices((features.values, target.values))
Here's an excerpt fr... | https://stackoverflow.com/questions/61589976/load-numpy-array-from-pandas-dataframe-into-tensorflow-dataset | pandas, numpy, tensorflow | 1,588,587,702 |
se_68603717 | stackoverflow | MACHINE_LEARNING | Can not install deepface because package versions have conflict | Can not install deepface because package versions have conflict
I'm trying to install deepface on mac m1. I have installed tensorflow-macos and current version is 2.5.0. But when I try to install deepface it says that there is a conflict in dependencies versions like deepface 0.0.65 depends on tensorflow>=1.9.0.
But a... | https://stackoverflow.com/questions/68603717/can-not-install-deepface-because-package-versions-have-conflict | python, tensorflow | 1,627,747,186 |
se_78737630 | stackoverflow | MACHINE_LEARNING | A KerasTensor cannot be used as input to a TensorFlow function | A KerasTensor cannot be used as input to a TensorFlow function
I have been following a machine-learning book by Chollet and I keep getting this error in this block of code, specifically in the 3rd line. It seems I am passing a Keras tensor into a tf function but I don't know how to get around this.
import tensorflow a... | https://stackoverflow.com/questions/78737630/a-kerastensor-cannot-be-used-as-input-to-a-tensorflow-function | python, tensorflow, keras | 1,720,731,015 |
se_58816662 | stackoverflow | MACHINE_LEARNING | NotImplementedError: numpy() is only available when eager execution is enabled | NotImplementedError: numpy() is only available when eager execution is enabled
I have these problem when I try to save my model. Besides, I am using Tensorflow 2.0.0 and numpy 1.6.0, so I don't know how to solve the problem because in the latest versions of tensorflow, the eager execution is enabled by default.
Compi... | https://stackoverflow.com/questions/58816662/notimplementederror-numpy-is-only-available-when-eager-execution-is-enabled | python, numpy, tensorflow | 1,573,554,334 |
se_79495542 | stackoverflow | MACHINE_LEARNING | ResNet50 on TPU calculates NaN for accuracy and loss, works fine on CPU in Google Colab | ResNet50 on TPU calculates NaN for accuracy and loss, works fine on CPU in Google Colab
I've trained a ResNet50 on v2-8 TPU accelerator using google colab, I've fed it with 5000 images of shape (224, 224, 3). I've normalized them, no nans, no inf, no class imbalance and everything is alright:
INPUT_SHAPE = (224, 224, ... | https://stackoverflow.com/questions/79495542/resnet50-on-tpu-calculates-nan-for-accuracy-and-loss-works-fine-on-cpu-in-googl | tensorflow, machine-learning, keras, google-colaboratory, tpu | 1,741,504,030 |
se_79510734 | stackoverflow | MACHINE_LEARNING | Kaggle TPU - Utilization is not currently available for TPU VMs | Kaggle TPU - Utilization is not currently available for TPU VMs
I'm training my model on Kaggle GPU, but it's taking too long. So, I decided to switch to TPU for faster training.
I enabled TPU in the notebook settings and ran the following code to initialize it:
import tensorflow as tf
try:
tpu = tf.distr... | https://stackoverflow.com/questions/79510734/kaggle-tpu-utilization-is-not-currently-available-for-tpu-vms | tensorflow, kaggle, tpu | 1,742,022,045 |
se_79506392 | stackoverflow | MACHINE_LEARNING | Google Colab TPU suddenly not found anymore | Google Colab TPU suddenly not found anymore
Issue
Since Monday or Thuesday this week (10.03.2025) the Google Colab TPUs are not found anymore.
Can someone help me please?
I am using
TensorFlow Version: 2.18.1
Keras-Tuner Version: 1.4.7
These are my resources
Sie haben Colab Pro abonniert. Weitere Informationen
Verf... | https://stackoverflow.com/questions/79506392/google-colab-tpu-suddenly-not-found-anymore | tensorflow, google-colaboratory, tpu, keras-tuner | 1,741,867,198 |
se_79500016 | stackoverflow | MACHINE_LEARNING | What Are the Correct Versions of Tensorflow and Tensorflow Agents to Work with On Ubuntu 24.04? | What Are the Correct Versions of Tensorflow and Tensorflow Agents to Work with On Ubuntu 24.04?
I remember having worked with tensorflow agents (for reinforcement learning) more than three years back, on an Ubuntu 18.04 machine. Of course, all the dependencies, including python versions have been upgraded since then, ... | https://stackoverflow.com/questions/79500016/what-are-the-correct-versions-of-tensorflow-and-tensorflow-agents-to-work-with-o | python, tensorflow, pip, dependency-management, tf-agent | 1,741,680,346 |
se_79508621 | stackoverflow | MACHINE_LEARNING | Keras: how to avoid input shape of sequential call being automatically squeezed by input | Keras: how to avoid input shape of sequential call being automatically squeezed by input
When creating a sequential MLP taking a batched input of shape [batch,n_channels,1], calling keras.layers.Input forcibly squeezes the last axis resulting in issues in an NN i'm attempting to create that lifts each float on the las... | https://stackoverflow.com/questions/79508621/keras-how-to-avoid-input-shape-of-sequential-call-being-automatically-squeezed | python, tensorflow, keras, keras-layer | 1,741,944,323 |
se_51006505 | stackoverflow | MACHINE_LEARNING | How training and test data is split? | How training and test data is split?
I am currently training my data using neural network and using fit function.
history = model.fit(X, encoded_Y, batch_size=50, nb_epoch=500, validation_split=0.2, verbose=1)
Now I have used validation_split as 20%. What I understood is that my training data will be 80% and testing ... | https://stackoverflow.com/questions/51006505/how-training-and-test-data-is-split | tensorflow, machine-learning, keras, neural-network | 1,529,807,287 |
se_79505082 | stackoverflow | MACHINE_LEARNING | Tensorflow error unknown expected keyword during loading of trained model | Tensorflow error unknown expected keyword during loading of trained model
I have trained a Tensorflow model and saved it on another machine and want to load it locally. When i try to load it i get an error saying Agent.init() got an unexpected keyword argument 'name'. My Agent class is the neural net i want to load bu... | https://stackoverflow.com/questions/79505082/tensorflow-error-unknown-expected-keyword-during-loading-of-trained-model | python, tensorflow, keras, deep-learning, neural-network | 1,741,822,176 |
se_72552272 | stackoverflow | MACHINE_LEARNING | Strange behaviour when passing a function into a Tensorflow dataset map method | Strange behaviour when passing a function into a Tensorflow dataset map method
This was working perfectly fine for me earlier today, but it suddenly started behaving very strangely when I restarted my notebook.
I have a tf dataset that takes in numpy files and their corresponding labels as input, like so tf.data.Datas... | https://stackoverflow.com/questions/72552272/strange-behaviour-when-passing-a-function-into-a-tensorflow-dataset-map-method | python, tensorflow, machine-learning, deep-learning, tensorflow-datasets | 1,654,722,817 |
se_79508217 | stackoverflow | MACHINE_LEARNING | tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead | tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead
WARNING:tensorflow:From c:\Users\Admin\Desktop\Maria Deniston\ForensicAi\env\Lib\site-packages\tf_keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use... | https://stackoverflow.com/questions/79508217/tf-losses-sparse-softmax-cross-entropy-is-deprecated-please-use-tf-compat-v1-lo | tensorflow, keras | 1,741,929,980 |
se_64215709 | stackoverflow | MACHINE_LEARNING | do I use "rescale=1. / 255" or not? Building VGG-like CNN | do I use "rescale=1. / 255" or not? Building VGG-like CNN
I am building a CNN with a similar architecture as VGG16. I know in VGG16 u do rescale u also center around 0. Now I train mine from scratch, does it make a difference and should I do it or no? Anyone who can help?
datagen = ImageDataGenerator(rescale... | https://stackoverflow.com/questions/64215709/do-i-use-rescale-1-255-or-not-building-vgg-like-cnn | python, tensorflow, keras, conv-neural-network, image-classification | 1,601,929,454 |
se_74864306 | stackoverflow | MACHINE_LEARNING | Not able to import pipelines from tensorflow | Not able to import pipelines from tensorflow
RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback):
No module named 'torch.distributed'
This is the error while im trying to import pipeline from transformer.
My tensorflow is upraded to latesr version 2.11.0 ... | https://stackoverflow.com/questions/74864306/not-able-to-import-pipelines-from-tensorflow | python, python-3.x, tensorflow, pytorch, huggingface-transformers | 1,671,545,218 |
se_49058913 | stackoverflow | MACHINE_LEARNING | Interleaving multiple TensorFlow datasets together | Interleaving multiple TensorFlow datasets together
The current TensorFlow dataset interleave functionality is basically a interleaved flat-map taking as input a single dataset. Given the current API, what's the best way to interleave multiple datasets together? Say they have already been constructed and I have a list ... | https://stackoverflow.com/questions/49058913/interleaving-multiple-tensorflow-datasets-together | python, tensorflow, tensorflow-datasets | 1,519,939,437 |
se_58114417 | stackoverflow | MACHINE_LEARNING | My model's loss value decreases slowly .how to reduce my loss faster while training? | My model's loss value decreases slowly .how to reduce my loss faster while training?
when I train the model the loss decrease from 0.9 to 0.5 in 2500 epochs. Is it normal?
my model:
model = Sequential()
model.add(Embedding(vocab_size , emd_dim, weights=[emd_matrix], input_length=maxLen,trainable=False)... | https://stackoverflow.com/questions/58114417/my-models-loss-value-decreases-slowly-how-to-reduce-my-loss-faster-while-train | tensorflow, keras, neural-network, deep-learning, nlp | 1,569,492,445 |
se_79504909 | stackoverflow | MACHINE_LEARNING | Discrepancy Between NumPy and TensorFlow FFT Outputs: Missing Imaginary Components in TensorFlow | Discrepancy Between NumPy and TensorFlow FFT Outputs: Missing Imaginary Components in TensorFlow
I am working on a project where I need to perform Fourier Transform on synthetic periodic data using both NumPy and TensorFlow. However, I am encountering a discrepancy between the FFT outputs of NumPy and TensorFlow. Spec... | https://stackoverflow.com/questions/79504909/discrepancy-between-numpy-and-tensorflow-fft-outputs-missing-imaginary-componen | python, numpy, tensorflow, signal-processing, fft | 1,741,815,703 |
se_79499322 | stackoverflow | MACHINE_LEARNING | YOLOv11 Model Converted to TFLite Not Producing Correct Output in TensorFlow | YOLOv11 Model Converted to TFLite Not Producing Correct Output in TensorFlow
I'm training an ALPR detection model using the dataset from Roboflow ALPR with YOLOv11, converted to TFLite using:
import ultralytics as yolo
!yolo detect export model=/content/runs/detect/yolov11_anpr/weights/best.pt imgsz=640 batch=1 format... | https://stackoverflow.com/questions/79499322/yolov11-model-converted-to-tflite-not-producing-correct-output-in-tensorflow | python, tensorflow, artificial-intelligence, data-science, yolo | 1,741,647,254 |
se_79503853 | stackoverflow | MACHINE_LEARNING | PyTorch Forecasting TimeSeriesDataSet Returns None in DataLoader Batch | PyTorch Forecasting TimeSeriesDataSet Returns None in DataLoader Batch
I am working with pytorch-forecasting to create a TimeSeriesDataSet where I have 30 target variables that I want to predict.
However, when I pass this dataset to a DataLoader, I encounter an issue:
Expected Behavior
Since I have 30 target variables... | https://stackoverflow.com/questions/79503853/pytorch-forecasting-timeseriesdataset-returns-none-in-dataloader-batch | tensorflow, deep-learning, time-series, pytorch-dataloader, pytorch-forecasting | 1,741,788,461 |
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