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Tagged with autoencoderneural-network
84 questions
1vote
1answer
345views
More weightage to a categorical feature for an Autoencoder model
I am using autoencoder for anomaly detection. I don't have any labels already and so its unsupervised. If I have categorical variables, I usually one hot encode before giving it to the model. I would ...
CommunityBot
- 1
1vote
1answer
2kviews
How to set the Reconstruction error threshold for anomaly detection using autoencoders?
Hi I am doing anomaly detection using auto encoders.I have trained the model using 'Non Anomalous' values.Now when I give anomalous points as test data. What should be the Reconstruction error ...
CommunityBot
- 1
2votes
1answer
1kviews
Keras - Autoencoder different from Encoder + Decoder
I build a CNN 1d Autoencoder in Keras, following the advice in this SO question, where Encoder and Decoder are separated. My goal is to re-use the decoder, once the Autoencoder has been trained. The ...
CommunityBot
- 1
0votes
1answer
296views
Build autoencoder for single matrix with integer numbers
Can you please tell me how to build an autoencoder with a single matrix(4,4) with integer numbers? I want to build an autoencoder for the below-mentioned data. I don't know whether I should convert ...
CommunityBot
- 1
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/...
CommunityBot
- 1
1vote
1answer
283views
Autoencoder: How should hidden layer be used?
I'm building a variational autoencoder to generate faces. I'm using gray-scale images with the size 30x30. I started with a very simple model: Input Layer, 900 nodes, values 0-1 Latent Space, 10 nodes ...
CommunityBot
- 1
6votes
1answer
7kviews
Why maximize ELBO in the variational autoencoder?
For a variational autoencoder, we have that: $$\mathscr{L}(x,\theta,\phi) := \mathbb{E}_{z \sim q_\phi(z|x)}[\log p_{\theta}(x|z)] -KL[q_{\phi}(z|x) ||p(z)] $$ This is called the variational lower ...
- 165
0votes
0answers
40views
Does Increasing Dimensionality Before Compression Make Sense for Anomaly Detection with Autoencoders?
Given a dataset $X$ of shape $(n, p)$ such that $n \gg 1$ and $p \approx 10$, I would like to train an autoencoder to solve an anomaly detection problem. I did some experiments considering a classical ...
CommunityBot
- 1
0votes
0answers
40views
Losing Information while resizing the image in Segmentation task using U-net
I'm using U-net architecture to build a segmentation task of image. During training I have image of size 256256 image. It works very well on the segmentation of same size 256256 or near to size 256*...
1vote
1answer
740views
How does a VQ-VAE produce new images?
I'm implementing a VQ-VAE for a LDM for biological time series data. I trained the VQ-VAE, and reconstructions works somewhat reasonable, but I have an understanding problem with how a VQ-VAE works. ...
0votes
2answers
483views
using simple autoencoder for feature selection
I am using a simple autoencoder to extract the informative features and I have multiple Q: I know that the features extracted will be a linear combination of the original features so I consider that ...
0votes
1answer
112views
Why do we operate with graphical models in VAE, if there are no probabilites involved?
In the variational autoencoder, I often see graphical models e.g. $P(X|Z)$ for the decoder, but when I looked at code, I don't see any random variables, I see just deterministic network, with ...
- 1,657
0votes
0answers
81views
Practical application of denoising autoencoders
I have been reading into autoencoders for the purpose of denoising data. In the examples i found (eg. [1, 2, 3], which are the first few google results) they have the following input/output: Input ...
0votes
1answer
22views
What says the output of autoencoder?
What is the meaning of output of autuencoders? Can we say it is the noise removed version of actual dataset and should it be symmetrical?
- 80
2votes
0answers
57views
How can I use autoencoders for noise detection and removal
How can I use autoencoders for noise detection and removal in a dataset with only 2 features and no labels? How should my architecture be like, such as 2 1 1 1 2 or any other? And does the output of ...
