小润这几天在看深度学习集训的资料，有理论、有代码、从cnn讲到rnn，从图像识别定位到看图说话，从语言模型到对抗网络。
资料地址：https://github.com/zhourunlai/dl_tutorials[这里是PPT]
(https://github.com/zhourunlai/dl_tutorials/tree/master/presentations)这里是相关 TensorFlow 代码
韩国小哥讲的，比较新，非常生动有趣，里面有提到艺术风格图片的合成
Deep learning tutorials边看PPT，边读代码
Week1
Deep learning intro.
Python basics
Let's play with images & MNIST
Terminologies
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! 看图答题
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 看图作文
char-rnn + how can we use Hangul?
Week6 - Deep learning is so FUN!
Residual network and some analysis
Neural Style: Texture synsthesis+Inverting CNN 艺术风格作画
Let's implement neural style
Bayesian optimization
Adversaral attack?
Generative adversarial network 对抗生成网络
