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.
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.