I am implementing a hybrid model which is autoencoder and CNN. I am attaching an image of my error which says I am not giving the dimension to my CNN proper. Please help me out to understand what can I do to get rid of this error. I am using Pytorch to implement the above models.
@harshini_sewani Can you paste your model along with the input shapes to precisely figure out what’s going on?
Thanks! Can you also provide your
The issue is that assuming an input
x of shape
(N,1,H_in) is fed to your
fc_encoder, you get an output of shape
(N,1,H_out). This shape is then feasible to be fed into your
Conv1d layer. However, it seems the shape of the tensor being fed into this layer is
[1, 4975]. So, please ensure your input is shaped
(N, 1, H_in).
Can you please explain me what is use of batch normalization and evolving normalization-activation layer ?
How can i reshape it ?