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Lets say we have an autoencoder with three layers. And the data we feed to autoencoder is text data. So in the middle layer, we will have a reduced dimension of the input data. let's say 20 neurons in the middle layer with consider 20 features in each (largest weight features).

Consider that I have already saved the weight changes of these features over 50 epochs.

For example: computer 0.01, 0.04, 0.5, -0.3, 0.8 ...

Is there any cool tools or any cool approach to visualize the change of the weight associated to these specific features?

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