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Why is that? Wouldn't that mean we aren't interested in identifying features in the first layer and just letting the model find a suitable "brush" that works everywhere in that layer?
Thanks again!
The text was updated successfully, but these errors were encountered:
Hi, thanks for sharing these,
I noticed in the convolutional autoencoder that the default number of filters for the first layer is 1:
https://github.com/pkmital/tensorflow_tutorials/blob/master/python/09_convolutional_autoencoder.py#L14
Why is that? Wouldn't that mean we aren't interested in identifying features in the first layer and just letting the model find a suitable "brush" that works everywhere in that layer?
Thanks again!
The text was updated successfully, but these errors were encountered: