All Questions
Tagged with autoencodertensorflow
29 questions
1vote
1answer
386views
numpy in call method: how to run without eager execution?
I wrote an implementation of a feedback recurrent autoencoder in Keras. The key difference to a regular autoencoder is, that the decoded output is fed back to the input layers of both, encoder and ...
0votes
1answer
72views
How to train encoder in BiGAN?
I have some difficulties training a BiGAN. In particular, the encoder seems not learning the map between the images x and the latent space z. I have the following encoder: ...
- 21
0votes
1answer
22views
What says the output of autoencoder?
What is the meaning of output of autuencoders? Can we say it is the noise removed version of actual dataset and should it be symmetrical?
- 21
2votes
0answers
57views
How can I use autoencoders for noise detection and removal
How can I use autoencoders for noise detection and removal in a dataset with only 2 features and no labels? How should my architecture be like, such as 2 1 1 1 2 or any other? And does the output of ...
- 21
0votes
1answer
161views
Trimming "unused" neurons from the bottleneck of an autoencoder
I'm working with autoencoding data in segments, and working with the latent space afterwards (I am also working on VAEs, but this segment of the project concerns deterministic AEs). I've noticed that ...
- 121
1vote
0answers
165views
How to implement simple VAE with sparse tensor in Tensorflow
thanks for reading. I have been attempting to train a simple VAE on very sparse 2D and 3D data. So far I have been training using dense tensors which - I think - is resulting in horrible training due ...
- 11
2votes
1answer
13kviews
ValueError: Input 0 of layer conv2d is incompatible with the layer: expected axis -1 of input shape to have value 1 but received input with shape
I'm trying to create an auto-encoder based model for segmentation, which looks something like this: https://i.sstatic.net/4F3Z0.png I haven't added a single step, nor missed one as far as I remember. ...
1vote
0answers
76views
Deep autoencoder: validation loss doesn't change
I'm trying to understand autoencoders and reproduced some code from Keras documentation: ...
1vote
0answers
149views
Trouble with anomaly/novelty detection (on microscale) - need easy practical guide with Keras
I am relatively new to the field of machine learning. However, I already have solved simple image classification tasks with Keras (for example building CNNs and classifying MNIST...). The rough deep ...
- 11
1vote
0answers
287views
Custom keras callbacks and changing weight (beta) of regularization term in variational autoencoder loss function
The variational autoencoder loss function is this: Loss = Loss_reconstruction + Beta * Loss_kld. I am trying to efficiently implement Kullback-Liebler Divergence Cyclic Annealing--that is changing the ...
- 111
1vote
0answers
177views
Is there any problem with the following Python+TF+Keras code for a custom loss function and network?
I am trying to code a custom loss function for variational autoencoder. I am not using mse for reconstruction loss since I am not learning p(x|z) ~ N(mu,I). Instead ...
- 1,101
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
2votes
1answer
1kviews
How to Save Model that has a TensorFlow Probability Regularizer?
Consider the following minimal VAE: ...
1vote
0answers
216views
Autoencoder fails to reconstruct
I'm trying to use an autoencoder to reduce dimensionality of my features. My features are of dimension 2048. I tried to train an autoencoder to reduce the dimensionality to 50. I'm using a single ...
