srinirajaraman/machine-learning

Native implementation of various ML models like RNN, RBM, Higher Order RBM to recognise transformations, Backpropagation

Projects

List of Machine Learning techniques covered.

1. Probabilistic graph models

1.1 Restricted Boltzmann Machine

1.2 Transformation using Higher Order Boltzmann Machine

2. Neural Networks

2.1 Backpropagation

2.2 Recurrent Neural Networks

Citations and the list of references:

1.1 Restricted Boltzmann Machine : Reference Link -> https://www.cs.toronto.edu/~hinton/absps/guideTR.pdf http://image.diku.dk/igel/paper/TRBMAI.pdf

1.2 Restricted Boltzmann Machine to Recognize transformations -> http://www.iro.umontreal.ca/~memisevr/pubs/cvpr07.pdf

2.1 Backpropagation: Reference Book-> Neural Networks from Simon Haykin, Chapter 8

2.2 Recurrent neural network: Reference Link -> http://www.deeplearningbook.org/ ,Chapter 11

3.MNIST dataset: Reference: LeCun, Y. & Cortes, C. (2010), 'MNIST handwritten digit database'

License

MIT