ravi03071991 / Autoencoder-Tutorial-Session

Autoencoder-Tutorial-Session

This repository contains Ipython notebooks of tutorial session on Autoencoders at TCS, Bangalore.

Simple and Sparse Autoencoders.ipynb - Building single hidden layer simple and sparse autoencoders.

Deep Autoencoder.ipynb - Building multi hidden layer autoencoder.

Convolutional Autoencoder.ipynb - Building autoencoder using convolution operation.

Application of autoencoders to image denoising - Using autoencoders for image denoising application.

Classification using Autoencoders.ipynb - Using autoencoders as weight initializers for supervised learning.

Dependencies:

1. Python - 3.6
2. Keras
3. Tensorflow

Reference:

Building autoencoders in keras