All Questions
Tagged with autoencoderconvolutional-neural-network
17 questions
-1votes
0answers
26views
Tips for increasing classification performance
I'm training a Multi View CNN on a ModelNet10 dataset (5000 3d meshes of 10 classes) to later use it as an encoder part for AutoEncoder model for 3d reconstruction. Each element of dataset is 40 ...
- 1
0votes
0answers
34views
Autoencoders failing to recreate MNIST numbers
I have been having trouble trying to get a working (non-variational) autoencoder to reproduce images from the MNIST dataset. The two biggest issues is an averaging of the samples to yield a single ...
1vote
0answers
39views
Python train convolutional on numerical values shape issue
I want to train a convolutional neural network autoencoder on a csv file which contains values pixel neighborhood position of an original image of 1024x1024. When I try to train it, I have the ...
- 147
1vote
0answers
213views
CNN auto-encoder performs much worse than Fully connected auto-encoder
I am trying to develop a one-class classifier, that will learn regular examples, and, hopefully, will have hard times reconstructing anomaly observations. I have 1D signals which I tried to ...
- 161
1vote
1answer
62views
Can we use autoencoders to change an existing image instead of create one from scratch?
I'm trying to think if we can use autoencoders to edit an existing image instead of saying, creating a new one from scratch. To give an example, say I train my data on the MNIST dataset. If I now give ...
0votes
0answers
14views
What is the reason of this behavior of training loss in CONV auto-encoders?
I don't get Training Loss is steady up to the 7th epochs
1vote
1answer
76views
Autoencoder not learning walk forward image transformation
I have a series of 15 frames with (60 rows x 50 columns). Over the course of those 15 frames, the moon moves from the top left to the bottom right. Data = https://github.com/aiqc/AIQC/tree/main/...
- 549
2votes
0answers
136views
Convolutional autoencoder - why keras example is asymmetry model?
I'm looking on keras convolutional autoencoder example, and confused with the model structure: ...
- 689
2votes
1answer
840views
Improve Convolutional Autoencoder
I just built a Convolutional Autoencoder to try to reconstruct a time series with shape (4000, 10, 30). This is the code, I used a batch size of 32, but I think it ...
- 53
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
5votes
1answer
9kviews
What is the best architecture for Auto-Encoder for image reconstruction?
I am trying to use Convultional Auto-Encoder for its latent space (embedding layer), specifically, I want to use the embedding for K-nearest neighbor search in the latent space (similar idea to ...
- 153
12votes
2answers
16kviews
Does it make sense to train a CNN as an autoencoder?
I work with analyzing EEG data, which will eventually need to be classified. However, obtaining labels for the recordings is somewhat expensive, which has led me to consider unsupervised approaches, ...
- 267
7votes
1answer
4kviews
Convolutional autoencoders not learning
I'm trying to implement convolutional autoencoders in tensorflow, on the mnist dataset. The problem is that the autoencoder does not seem to learn properly: it will always learn to reproduce the 0 ...
- 191
1vote
0answers
2kviews
What are the advantages/disadvantages of using Autoencoders over CNNs for image search?
I've seen both of these techniques be used for image search. One difference I can think of is that autoencoders don't rely on labeled data. I'm not sure, but it seems logical therefore that they can ...
- 111
