[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