A basic implementation of an autoencoder using tensorflow trained and tested on an ECG dataset, webapp created using streamlit which provides flexibility in choosing the number of nodes in the different layers of endcoder and decoder.
-
Notifications
You must be signed in to change notification settings - Fork 1
hawk-aj/anamoly-detection-using-autoencoders
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
A basic implementation of an autoencoder using Tensorflow. Trained and tested on an ECG dataset
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published