## Deep learning tutorials

Deep learning tutorials (2nd ed.)

## Week1

## Week2 - Do you know deep learning?

- CNN and AlexNet
- TensorFlow basics
- Logistic regression
- GoogLeNet
- AlphaGo: MCTS+CNN
- Let's implement MLP!
- Let's play with you OWN DATASET
- Regularization methods
- Optimization methods
- Restricted Boltzmann Machine
- Let's implement denoising autoencoder

## Week3 - CNN basics

- Semantic segmentation: FCN, DeconvNet, DeepLab with atrous conv
- Let's implement a simple CNN
- Let's implement a basic CNN
- Let's implement semantic segmentation
- Weakly supervised localization: Global average pooling
- Implement MLP and CNN on your OWN DATASET
- Denoising deconvolutional neural network

## Week4 - CNN applications + RNN basics

- Image detection (RCNN, SPPnet, FastRCNN, FasterRCNN)
- Other detections (YOLO, AttentionNet)
- Let's use TensorBoards
- RNN from Colah's blog
- Visual QnA: DPPnet + MCBP!
- Super resolution
- Deep reinforcement learning

## Week5 - RNN applications

- RNN basic + handwriting generation
- Let's implement RNNs
- Let's implement Word2vec
- Image captioning: Show and Tell + Show, attend and tell
- char-rnn + how can we use Hangul?