FFFF GitHub - hbczxpz/dl_tutorials: Deep learning tutorials (2nd ed.) · GitHub
[go: up one dir, main page]
Skip to content

hbczxpz/dl_tutorials

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

27 Commits
presentations
presentations
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 

Repository files navigation

Deep learning tutorials

Deep learning tutorials (2nd ed.)

Week1

  1. Deep learning intro.
  2. Python basics
  3. Let's play with images & MNIST
  4. Terminologies

Week2 - Do you know deep learning?

  1. CNN and AlexNet
  2. TensorFlow basics
  3. Logistic regression
  4. GoogLeNet
  5. AlphaGo: MCTS+CNN
  6. Let's implement MLP!
  7. Let's play with you OWN DATASET
  8. Regularization methods
  9. Optimization methods
  10. Restricted Boltzmann Machine
  11. Let's implement denoising autoencoder

Week3 - CNN basics

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

Week4 - CNN applications + RNN basics

  1. Image detection (RCNN, SPPnet, FastRCNN, FasterRCNN)
  2. Other detections (YOLO, AttentionNet)
  3. Let's use TensorBoards
  4. RNN from Colah's blog
  5. Visual QnQ: DPPnet + MCBP!
  6. Super resolution
  7. Deep reinforcement learning

Week5 - RNN applications

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

Week6 - Deep learning is so FUN!

  1. Residual network and some analysis
  2. Neural Style: Texture synsthesis+Inverting CNN
  3. Let's implement neural style
  4. Bayesian optimization
  5. Adversaral attack?
  6. Generative adversarial network

About

Deep learning tutorials (2nd ed.)

Resources

Readme

License

MIT license
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

0