All Questions
18 questions
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load images for Auto-enncoder with keras ImageDataGenerator questions
dear community.
I have a dataset folder split into X and Y that are meant to be fed to an Auto-encoder
The X is the modified version of the Y, which means that the model should learn to turn X into Y
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1
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0
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98
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How to reconstruct the decoder from an LSTM-AE?
I have a trained LSTM-AE, of which the architecture is as follows:
In brief, I have an LSTM-AE of depth 3, the number of cells on the LSTM layers on the encoder side are [120, 80, 50] (and symmetric ...
- 95
0
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0
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61
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How to solve error "ValueError: No gradients provided for any variable" when building CNN for autoencoder?
I'm trying to build a CNN model for Autoencoder. My code contains 3 functions:
Autoencoder contains the layers of my CNN.
make_autoencoder_model initializes the model.
fit_model_on_cifar10 to fit ...
- 2,894
0
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1
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2k
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ValueError: Dimensions must be equal (keras)
I'm trying to train an autoencoder but have problems in reshaping my X_train to fit it to my model model().
from tensorflow import keras
from keras.layers import *
from keras.models import Model
from ...
- 191
1
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1
answer
225
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Keras functional api Graph disconnected error
The following code is giving me a graph disconnected error but I cant work out where it is coming from and am not sure how to go about debugging. The error is being thrown on the last line decoder = ...
- 740
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0
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362
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How to find loss function values in unsupervised learning with Autoencoder?
To simplify my story: I was trying to test dimensionality reduction on my UNLABELED data with the encoder method using keras/tensorflow.
So I looked at the internet and found a nice code that might ...
- 702
0
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1
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711
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Keras - ValueError: Output of generator should be a tuple `(x, y, sample_weight)` or `(x, y)`. Found: [[[[0.54901963] [0.5372549 ]
So I try to train an autoencoder using ImageDataGenerator using this script :
from keras.preprocessing.image import ImageDataGenerator
batch_size = 128
train_datagen = ImageDataGenerator(rescale=1./...
- 115
0
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1
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143
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Convolutional Auto Encoder Decoder error in Keras
I'm attempting to train a convolutional auto-encoder to recreate images that are 80X130
I've added all the necessary imports, and I'm writing it in python 3.7
This is the error I get:
Traceback (...
2
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0
answers
204
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Deep convolutional autoencoder problem - encoding dimension too large
I recently built a convolutional autoencoder, upon which I built a sling of other networks. I just now realized that I made a fundamental mistake (should have seen it way earlier too). I thought my ...
- 399
4
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1
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804
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Autofilter for Time Series in Python/Keras using Conv1d
It may looks like a lot of code, but most of the code is comments or formatting to make it more readable.
Given:
If I define my variable of interest, "sequence", as follows:
# define input sequence
...
- 2,022
-1
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1
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21
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Unable to infer using Autoencoders neural network model (model.h5)
As per the link https://medium.com/@curiousily/credit-card-fraud-detection-using-autoencoders-in-keras-tensorflow-for-hackers-part-vii-20e0c85301bd
we are trying to run fraud detection using ...
- 124
0
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1
answer
1k
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How apply Gridsearch on autoencoder model?
I want to apply GridSearchCV on the autoencoder model. The code of the atuoencoder and GridSearchCV is added below please tell me how I change this code to run GridSearchCV successfully.
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- 159
1
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1
answer
903
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Memory error while running LSTM Autoencoders
I am setting up an LSTM Autoencoder with multivariant time sequences. Each of my sequence has different time steps(approximately 30 million steps in one sequence) and 6 features. I know to give one ...
1
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1
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167
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Mismatch in shape size of conv2d layer within autoencoder
I am building(reusing) a convolutional autoencoder but I am having an issue with the last conv2D layer as it's expecting a shape of (180,116,1) but receiving (184,120,1)[which is the shape of my ...
- 43
1
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1
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443
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Saving an Auto-encoder trained to reduce dimensions
I made an autoencoder for dimensionality reduction, I wanted to save it to be used in the reduction of the test dataset. Here is my code
dom_state = seed(123)
print('Rescaling Data')
y = minmax_scale(...
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