All Questions
4 questions
4votes
1answer
4kviews
1D CNN Variational Autoencoder Conv1D Size
I am trying to create a 1D variational autoencoder to take in a 931x1 vector as input, but I have been having trouble with two things: Getting the output size of 931, since maxpooling and upsampling ...
- 143
1vote
1answer
2kviews
Autoencoder implementation using ImageDataGenerator
I'm using the concept demonstrated in this paper. Their training data consists of "GOOD" images and "BAD" images. They train the AE using "BAD" images (X) to make it ...
- 111
7votes
1answer
4kviews
Convolutional autoencoders not learning
I'm trying to implement convolutional autoencoders in tensorflow, on the mnist dataset. The problem is that the autoencoder does not seem to learn properly: it will always learn to reproduce the 0 ...
- 191
6votes
3answers
4kviews
Stuck on deconvolution in Theano and TensorFlow
I'm captivated by autoencoders and really like the idea of convolution. It seems though that both Theano and TensorFlow only support conv2d to go from an array of 2D-RGB (n 3D arrays) to an array of ...
