Deep Learning 2 Course Project

This repo is the work for the project of course Deep Learning 2.

Implementation of RBM, DBN, DNN, VAE and experiment on Binary Alpha Digit and MNIST dataset.

Running RBM

Run RBM code with

python RBM.py --show_img

Optional arguments:

--digit: list of digits/letters that RBM structure will learn. Value of elements in range [0, 35]. Example: --digit 3 5 7. Default [3]

--iter: number of training iteration. Default 1000.

--nb_img: number of images to generate. Default 3.

--show_img: Mark to show images after generation.

--save_img: Mark to save generated images to /experiments/RBM

Example of running code with full optional arguments:

python RBM.py --digit 6 10 --iter 800 --nb_img 5 --show_img --save_img

Running DBN

Run DBN code with

python DBN.py --show_img

Optional arguments: Same as RBM

Example of running code with full optional arguments:

python DBN.py --digit 6 10 --iter 10 --nb_img 5 --show_img --save_img