Questions tagged [tensorflow]
TensorFlow is an open source library for machine learning and machine intelligence. TensorFlow uses data flow graphs with tensors flowing along edges. For details, see https://www.tensorflow.org. TensorFlow is released under an Apache 2.0 License.
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How to check which models tensorflow serving located in the docker container is capable of serving?
I want to use newer model in the tensorflow serving docker container (tensorflow/serving:latest image). Last time this container was initialized more than 2 years ago. So tensorflow serving might be a ...
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Understanding Divergence in LSTM Units with Zero Initialization and Shared Weights?
I'm trying to understand how LSTM units can diverge over time when they start with zero initialization and share the same weights. Here are the key points of my confusion:
Initialization: All units ...
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What Package/Algorithm should I use to classify the pixels of a pigs eye in an infrared picture of a pig?
Im a college student working on a project that involves identifying eye features in infrared pictures of pigs so that we can apply a FEM mesh to it and do computations (we haven't created the mesh yet,...
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Feature importance and classes importance
I have the following trained time series classification tensorflow model :
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Implementation of CNN-LSTM for multivaraite time series forecasting
I have recently completed the course on TimeSeries from Coursera - Deeplearning AI, and was trying to replicate the results of an open-access research paper (...
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python model to predict future performance
I would like to build a python model to predict how a student will perform on a given math test. I have data relating to each student and also their score on up to 100 previous tests that (each ...
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wierd neural network approache
I'm working on a problem where I need to create a neural network to optimize the seating arrangement for 24 unique individuals in a 6x4 grid, minimizing conflicts between adjacent (up,down,left,right) ...
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Apply Swin transformer to 1d arrays
My input features are 1d arrays of shape (1000,)
I can tokenize the arrays using tf.extract_patches
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How to implement a model input to cope with model.predict([10.0]) in tensorflow 2.13
I've tried everything but cannot get a tensorflow simple linear regression model to take a single element list.
Due to the circumstances, I cannot do any preprocessing or wrap it in a numpy array, the ...
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Validation accuracy can't increase above 70%
I am building a classifying model to predict images over 3 classes. The data is balanced, with 10.5k images for train ( 3.5k for each ), 3k validation images ( 1k each ).
I increased my ...
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Invalid Input shape for input tensor on Multimodal CNN
Im trying to build an image classification model with multimodality, it takes SAR and optical images, both types of images have FITS format.
The optical images have shape (None, 512, 512, 3), while ...
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Validation accuracy stuck in tf keras
So I have a model to classify images into 3 classes. I have 10.5k train images ( 3.5 per each category ) and 3k ( 1k per each category ) validation images but I can't increase my val_acc no matter ...
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How to include variable input shape in convLSTM2D?
I am classifying time series of 72x72 images in 4 filters (just like RGB). Things work well ...
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Vision Transformer model training and Validation accuracy stuck at 50
I have built Vision Transformers from scratch using Tensorflow keras for Binary classification of Fake and Real images.The dataset is balanced, 50% Real images and 50% fake images. But when i run this ...
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Why does the TensorFlow docs use a different GAN generator loss?
As per the original paper that introduced GANs, the generator loss is given as:
$$
L_{G} = L _{BCE}(\mathbf{\vec 0}, \mathbf{D}(\mathbf{G}(\mathbf{\vec z}))) = \log(1 - \mathbf{D}(\mathbf{G}(\mathbf{\...
