[1일차] 

Deep Learning 개요
- Deep feedforward network
 * Feed-forward neural networks
 * Computational graph and backpropagation
 - Optimization for training deep models
 - Regularization

 [2일차]

Convolutional Networks
 - CNN (Convolution Neural Networks)
 * Convolutional layers
 * Activation
 * Pooling
 * Batch Normalization
 * Dropout
 - AlexNet / VGGNet architecture

 [3일차]

Recurrent neural networks Auto Encoder
 - RNN (Recurrent Neural Networks)
 * LSTM and gated recurrent units
 * CTC
 * Seq2Seq architectures
 * Attention models
 - AutoEncoder / Seq2Seq
 - Complex Network Models / Representative models