Skip to main content

All Questions

0 votes
1 answer
543 views

I am trying to build a VAE using the MNIST dataset. Error: --------------------------------------------------------------------------- AttributeError Traceback (most recent ...
Aditya Shah's user avatar
1 vote
1 answer
6k views

I am trying to compile a Keras Sequential model (in TF2) in the eager execution mode. Following is my custom layer: class CustomLayer(Layer): def __init__(self, output_shape, **kwargs): self....
Salman's user avatar
  • 1,016
1 vote
1 answer
242 views

Trying to tying the weights of the encoder and decoder layer but getting this unknown error for the Reshaping layer. My tensorflow version is up to date, and I imported the layers from tensorflow....
Coder_ yug_'s user avatar
0 votes
1 answer
479 views

I'm trying to build an undercomplete autoencoder for music dimensionality reduction. My Autoencoder class is modular, I can give in input a list of convlayers sizes and it creates me automatically the ...
Giuseppe Minardi's user avatar
2 votes
1 answer
324 views

I am implementing an autoencoder using the Fashion MNIST dataset. The code for the encoder- class MNISTClassifier(Model): def __init__(self): super(MNISTClassifier, self).__init__() ...
Sourodip Kundu's user avatar
0 votes
1 answer
687 views

I am creating an encoder on the fashion MNIST dataset. The encoder consists of three layers, Each input image is flattened into a dimensionality of 784. The three encoder layers are with output ...
coding_ninza's user avatar
0 votes
1 answer
181 views

I am trying to implement a conditional autoencoder, which is really very straightforward, and getting errors while making the fit function work. Here is the full code snippet import numpy as np import ...
Hirak Sarkar's user avatar
1 vote
0 answers
750 views

I am trying to work on an image colorizer using autoencoders. The 'input' is a grayscale image and the 'labels' are their corresponding color images. I am trying to get it to work on google colab on a ...
AVN's user avatar
  • 63
-1 votes
2 answers
89 views

continued from before: Why does my model work with `tf.GradientTape()` but fail when using `keras.models.Model.fit()` I'm working on replicating the perceptual style transfer model as diagrammed ...
michael's user avatar
  • 4,567