Autoencoder

Simple Autoencoder for browser

Train a model to autoencode handwritten digits from the MNIST database using Fully Connected Neural Network written in Tfjs
The MNIST dataset is used as training data.

Features

• Autoencoder is densenet layered with batchnorm layers and multiple skip connections

• Select the structure for the DenseNet and see the performance of the model.

• Sample autoencoded MNIST Digits can be seen

• 2D Visualize the encoded space of the autoencoder, see the decoded digit for the corresponding latent point

• Autoencode your own digit drawing

Installation and execution

• Download the project folder on your server and run index.html from your browser

Contributors:

• Rohan Mallick
• Shashank Gupta
• Abhinav Saini
• Ankit Aharwal

Sample website:https://r7rohan.github.io/autoencoder-VML/