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  1. Starting from the second example, could it be possible to not just take the number of sunspots as variable ? I mean, what if we would consider also other variables, should it be possible to use the same model, modifying just the input shape of the TCN, or is not that easy? Thanks you

  2. I copied/pasted the code into a new JN. Sadly, if I run the notebook I am getting at "model.fit(x,y2,epochs=200)" the error "ValueError: logits and labels must have the same shape ((None, 1, 4) vs (None, 4))". Do you have any idea what could be wrong? Thanks in advance.

  3. So I am assuming you only give tutorials on how to create various neural networks in software and don't give the necessary theoretical background to understand this stuff (I can't find anything comprehensive on TCNN)

  4. Great work again. Always looking forward to see a new one. I really appreciate your efforts. The last video was very challenging. Maybe you could dissect it even more in the future.
    Do you actually recommend a way to help better understand the higher dimensions / spatial sense / tensor shapes to improve knowledge on how to shape / reshape tensors into the right format in the preprocessing part?
    Best regards

  5. can I get the pre-trained model for this?
    I have .tif image of the cloud can I generate next frame for this ( movement of the cloud is very less) by building model in these ways.

  6. Very cool video! Happy you can now generate all future tutorials!
    Another fun project could be to get 3 successive frames and try to predict the middle one from first and last.

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