All Questions
Tagged with tf.keras autoencoder
27
questions
6
votes
2
answers
2k
views
Keras Autoencoder: Tying Weights from Encoder To Decoder not working
Im creating an Autoencoder as part of my full model for a Kaggle competition. Im trying to tie the weighs of the Encoder, transposed to the Decoder. Before the first Epoch the weights are correctly ...
- 514
4
votes
1
answer
10k
views
Keras Graph disconnected cannot obtain value for tensor KerasTensor
Tensorflow: 2.4.0
This is the Full Error Message:
ValueError: Graph disconnected: cannot obtain value for tensor KerasTensor(type_spec=TensorSpec(shape=(None, 64, 64, 3), dtype=tf.float32, name='...
- 101
3
votes
0
answers
353
views
Keras autoencoder is not reconstructing 1D signals
I would like to train an autoencoder neural network.
Assume I have a 1D signal:
Then in order to create a dataset, I split this signal into several thousands of (overlapping) segments (each with 1024 ...
- 115
1
vote
1
answer
5k
views
how to see tensor value of a layer output in keras
I have a Seq2Seq model. I am interested to print out the matrix value of the output of the encoder per iteration.
So for example as the dimension of the matrix in the encoder is (?,20) and the epoch =...
- 2,080
1
vote
0
answers
156
views
How to export and reuse the model from Tensorflow Image Captioning tutorial?
I followed the whole TensorFlow image captioning tutorial (https://www.tensorflow.org/tutorials/text/image_captioning) and everything works. Now that my model is trained I wanted to know how to export ...
- 353
0
votes
1
answer
365
views
No Gradients Provided Keras Tensorflow when nesting Models
Im started to work with Keras a little bit but i run in to this issue where it tells me that no gradients are provided. I know that this question was posted like 100 times before but the solutions are ...
- 122
0
votes
1
answer
33
views
Retrieve input values after passing to hidden layer in every epoch by using autoencoder
I want to retrieve input values after passing to the hidden layer in every epoch. I use an autoencoder to train data from the input (iris.csv). In the code below, I don't know how to intervene to the ...
- 961
0
votes
1
answer
317
views
How to choose matching layer sizes in a convolutional autoencoder?
Are there any suggested best practices when choosing layer sizes when building a convolutional autoencoder?
For example, if I'm working with a 28x28x1 MNIST image, and creating my model with tf.keras ...
- 974
0
votes
1
answer
208
views
Why does Keras documentation examples for autonencoders use Conv2D instead of Conv2DTranspose
I have been following the Keras documentation to build up a CNN autoencoder
https://blog.keras.io/building-autoencoders-in-keras.html .
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, ...
- 380
0
votes
0
answers
33
views
model.fit function using datasets stops training after 2 epochs
Trying to train a autoencoder model using tensorflow datasets. Trying to use model.fit function to train the model. The training is exiting after 2 epochs. Even after changing the epochs >2. It ...
0
votes
0
answers
33
views
How to set parameters for decoder to match the encoder
I am finding it hard to understand how the decoder parameters are set to "undo" the encoder parameters when constructing a variational autoencoder. Here is the code from the Keras site:
...
- 120
0
votes
1
answer
276
views
ValueError: All layers added to a Sequential model should have unique names
I am trying to train a VAE model for music generation.
When I run the following program, it shows an error:
All layers added to a Sequential model should have unique names. Name "" is ...
- 3
0
votes
1
answer
738
views
KL divergence loss goes to zero while training VAE
I am trying to train a supervised variational autoencoder to perform classification for a noisy dataset. I am using a fully connected encoder and decoder where uses the z as input for an MLP. I'm ...
- 58
0
votes
1
answer
112
views
Why VAE in Keras has an exponential?
In Keras VAE implementation:
class Sampling(layers.Layer):
"""Uses (z_mean, z_log_var) to sample z, the vector encoding a digit."""
def call(self, inputs):
...
- 13
0
votes
1
answer
285
views
Autoencoding, using encoding and decoding layers in Keras, Tensorflow- issues in defining latent layers
I've been following a convolutional autoencoder, derived from https://medium.com/analytics-vidhya/building-a-convolutional-autoencoder-using-keras-using-conv2dtranspose-ca403c8d144e using a data set ...
- 3
0
votes
0
answers
32
views
Custom loss function in keras (calculate loss based on chosen neurons)
I'm building autoencoder for system recommendation and I want to calculate loss based for example on 200 outputs instead of 500 neurons (data with 500 columns as below).
In other words when ...
0
votes
1
answer
134
views
how to fit the dimension in the autoencoder of Keras
I am using a convolutional autoencoder for the Mnist image data (with dimension 28*28); here is my code:
input_img = Input(shape=(28, 28, 1))
x = Convolution2D(16, (5, 5), activation='relu', padding='...
- 39
0
votes
0
answers
104
views
Is there a way to pass a Counter as input into Tensorflow?
I have a dictionary of Counters (from collections,) all keys are integers. I am trying to write an autoencoder which takes a Counter as input.
Naive attempts like tf.data.Dataset.from_tensor_slices(...
0
votes
1
answer
288
views
tf.keras.backend.function for transforming embeddings inside tf.data.dataset
I am trying to use the output of a neural network to transform data inside tf.data.dataset. Specifically, I am using a Delta-Encoder to manipulate embeddings inside the tf.data pipeline. In so doing,...
- 133
0
votes
1
answer
171
views
Smaller speedup than expected by precomputing encoded output in full pairwise comparison
I am building a neural net to predict the outcome of pairwise comparison. The same encoder network is applied on both inputs before merging and computing the result in the downstream part. In my use ...
- 444
0
votes
1
answer
63
views
unknow Error in Making AutoEncoder using Keras
from tensorflow.keras import metrics
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Reshape, Input, Dense,Flatten, Reshape
import numpy as np
↑ ...
user3613864
0
votes
0
answers
355
views
TypeError: int() argument must be a string, a bytes-like object or a number, not 'tuple' when starting the training of my model
I am trying to build a vector quantized variational autoencoder in tensorflow. A very cryptic error occurs when I build my model and start training.
I have gone through the code to find an mistakes ...
- 13
0
votes
1
answer
147
views
random projection after encoder in keras
I plan to do a random projection on the outputs of the encoded and hence
input_img = Input(shape=(32, 32, 3))
x = Conv2D(64, (3, 3), padding='same')(input_img)
x = BatchNormalization()(x)
x = ...
- 379
0
votes
1
answer
2k
views
During creating VAE model throws exception "you should implement a `call` method."
I want to create VAE(variational autoencoder). During model creating it throws exception.
When subclassing the Model class, you should implement a call method.
I am using Tensorflow 2.0
def vae():
...
0
votes
1
answer
587
views
Python/TensorFlow/Keras - Input to reshape is a tensor with 300 values, but the requested shape has 200 [[{{node decoder_1/reshape_1/Reshape}}]]
I want to transform my data from 2d to 3d for it I've created Autoencoder where code(hidden layer) has 3 neurons. When training starts it throws exception.
import numpy as np
import tensorflow as tf
...
0
votes
0
answers
130
views
how to get the real shape of batch_size which is none in keras
When implementing a custom layer in Keras, I need to know the real size of batch_size. my shape is (?,20).
questions:
1. What is the best way to change (?,20) to (batch_size,20).
I have looked into ...
- 2,080
0
votes
1
answer
858
views
How to plot ROC curve and compute AUC on AutoEncoder model? [duplicate]
I created an autoencoder model and train it with image sequence dataset. The final result of testset is a reconstructed images. How can I plot ROC curve and calculate AUC?
Edited:
This is my code:
...
- 121