Comments (2)
anayebi
commented on July 22, 2024
If your output is (100, 10), then that is incorrect. You must have the extra dimension of time as your output since you have the return_sequences flag set to True. So assuming the number of timesteps is t, then your output shape should be of the form (100, t, 10).
Also, if you have 16 frames, then your input shape needs to be (100, 1, 16, 7, 7), as I am assuming the number of timesteps is 1 for you (from what I interpret).
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badripatro
commented on July 22, 2024
Is this function "TimeDistributedConvolution2D() " or similar to this function available in torch. how will I implement this API in the torch.
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