All Questions
6 questions
-1
votes
1
answer
53
views
Why do we need to pre-process image datasets?
Refer to this Complete guide on How to use Autoencoders in Python
Notice the author add:
x_train = x_train.astype('float32') / 255.
x_test = x_test.astype('float32') / 255.
x_train = x_train.reshape((...
- 549
0
votes
1
answer
675
views
Value error after fitting my custom model
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 ...
- 405
0
votes
1
answer
497
views
MNIST Autoencoder: ValueError: total size of new array must be unchanged, input_shape = [748], output_shape = [28, 28]
I'm trying to build a mnist autoencoder to learn how to work with reshaping and encoding.
The following error is thrown when i run the code:
ValueError: total size of new array must be unchanged, ...
- 3
2
votes
1
answer
3k
views
Fine tuning deep autoencoder model for mnist
I have developed a 3 layer deep autoencoder model for the mnist dataset as I am just practicing on this toy dataset as I am beginner in this fine-tuning paradigm
Following is the code
from keras ...
- 4,321
0
votes
1
answer
148
views
autoencoder with tensorflow
I try to implement Stacked autoencoder with tensorflow. I used the mnist data set and try do reduce the dimension from 784 to 2. I already did it with keras, and its result was good(train error was ...
- 31
0
votes
1
answer
284
views
Simple keras autoencoder with MNIST sample data not working
I'm trying to implement a simple keras autoencoder in R using the MNIST sample dataset. I got my example from a blog but it doesn't work. I get almost a 0 % accuracy.
The objective is to compress ...
- 293