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Tag: keras

ValueError: Input 0 of layer conv2d_10 is incompatible with the layer: expected ndim=4, found ndim=3. Full shape received: [None, 100, 100]

So I have been following a tutorial about Machine learning and I have come to this point in the code: When I execute this code it gives me the following Error: ValueError: Input 0 of layer conv2d_10 is incompatible with the layer: expected ndim=4, found ndim=3. Full shape received: [None, 100, 100] I have seen multiple posts about this and

Keras my_layer.output returning KerasTensor object instead of Tensor object (in custom loss function)

I’m trying to build a custom loss function in Keras v2.4.3: (as explained in this answer) But I think it’s behaving much different than expected (perhaps because of my Keras version?), I’m getting this error: And I think that’s because encoder.get_layer(‘mean’).output is returning a KerasTensor object instead of a tf.Tensor object (as the other answer indicates). What am I doing

Why is the result of the code offered by Deep Learning with TensorFlow different from the snapshot in its book

In the first chapter of Deep Learning with TensorFlow, it gives an example on how to build a simple neural network for recognizing handwritten digits. According to its description, the code bundle for the book can be found at GitHub. From the context, I think section Running a simple TensorFlow 2.0 net and establishing a baseline uses the code same

How to deploy deep learning models in cloud? [closed]

Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 2 years ago. Improve this question I have built a deep learning model with python using keras (LSTM classifier for emotion speech recognition) and it’s works perfectly locally, but when i

Is the linear model trainable in Convolution or NN?

If I’ve an following layer Is this layer trainable? As we know derivative of linear function is constant, so in this cases will the weight get ever updated? Situation like also Answer The layer is trainable. Your data will be approximated by linear function. Training process is finding a function which is the best approximation of your data. If you

What is Keras’ Tokenizer fit_on_sequences used for?

I’m familiar with the method ‘fit_on_texts’ from the Keras’ Tokenizer. What does ‘fit_on_sequences’ do and when is it useful? According to the documentation, it “Updates internal vocabulary based on a list of sequences.”, and it takes as input: ‘A list of sequence. A “sequence” is a list of integer word indices.’. When is this useful? For fitting on texts, I

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