This repository includes homemade C++ source code of deep learing

• neurons is a static library including some basic neuron concepts.

Following algorithms and functions are included in this module

• vector and matrix calculations
• activation functions
• cost or error functions
• convolutional functions
• pooling functions
• forward and backward propagation
• Back Propagation Through Time
• basic building block of RNN (RNN_unit)
• One dimensional GMM EM algorithm

• dataset is a module with a general dataset interface for neural network training.

Supports of following dataset are included in this module

• MNIST for feedforward neural networks
• CIFAR_10 for feedforward neural networks
• Media Review for recurrent neural networks (RNN)

• dnn is a multi-layer fully connected neural network program that can be trained.
• cnn is a homemade multi-layer convolutional neural network program that can be trained.
• rnn has recently implemented a simple RNN module. LSTM is still under construction.
• test includes some basic test cases of neural calculations.