Experimenting with RBMs using scikit-learn on MNISTand simulating a DBN using Keras.

MNIST data has been used for these experiments. The compressed files can be downloaded here.

You can use python-mnist if you're finding it hard to parse and process the data.

• numpy==1.12.0
• keras==2.0.6
• scikit_learn==0.19b2

1. RBM.ipynb - Jupyter Notebook containing experiments and results done on the mnist data, I have included comments wherever necessary
2. RBM.html - The above file in HTML format for quick viewing
3. DBN.py - A DBN wrapper simulated using RBMs in scikit-learn followed by Keras. Weights learnt during RBM training are then initialised in a MLP built using Keras Sequential Model. Inline documentation and example code are included.