Demo or example code about keras-extra HOT 5 CLOSED

Okay I already see at least one thing wrong here.

I was imagining hooking up the last time-step's output from the RNN to a vanilla Dense network. Does that make sense? Or does this implementation depend on the output vector having the same time dimension as the input?

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Yeah if return_sequences=False, then you do want a Dense network, not a TimeDistributedDense.

I think the issue is with your input_shape argument. You mention that X_train is of the shape (60000, 196, 1, 15, 15). If that's the case, then your input_shape to the first TimeDistributedConvolution2D layer should be input_shape=(196,1, 15, 15).

Also, as a sanity check what version of Keras are you using? I can only guarantee support for version 0.3.0 and lower.

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Yep, I'm using 0.3.0.

Yeah the input shape was the issue - I was focused on the error and not really checking the code.

It seems to be working now. I'll post a link with the working code and then close the issue.

Thanks

from keras-extra.

https://github.com/jamesmf/mnistCRNN

Above is a working TimeDistributedConvolution Example. It takes a set of MNIST images and learns to predict their sum.

from keras-extra.

Great thanks! I added the link to your demo in the ReadMe :) 👍

from keras-extra.