Basic deep learning algorithms and experiments with MNIST, CIFAR, ImageNet.

Different languages: python, c++, java

Python project for deep learning algorithms: rbm, dbn, cnn,

Motivated and improved based on yusugomori's Deep Learning implementation.

What's added:

• functions: cost function calculation
• visualiation: iPython Notebook
• algorithms: cnn
• dataset: mnist, cifar, imagenet
• optimization: dropout, low-rank approximization
• parallelism: GPUs, CPUs (multi-threading), cluster, Sparc, data/feature parallelism
• (c++): mkl support, multi-threading, sparsification