＂[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
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