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sjchoi86/dl_tutorials

Deep learning tutorials (2nd ed.)

1,515

22 commits

updated Jul 26, 2016

See the code

README

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 QnA: 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

Significant stargazers

Shelley Vohr

3,968 followers · starred Jul 2016

Donne Martin

24,658 followers · starred Jul 2016

OMOTO Tsukasa

88 followers · starred Jul 2016

Shobhit Chittora

35 followers · starred Jul 2016

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sjchoi86/dl_tutorials

Deep learning tutorials (2nd ed.)

1,515

22 commits

updated Jul 26, 2016

See the code

README

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 QnA: 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

Significant stargazers

Shelley Vohr

3,968 followers · starred Jul 2016

Donne Martin

24,658 followers · starred Jul 2016

OMOTO Tsukasa

88 followers · starred Jul 2016

Shobhit Chittora

35 followers · starred Jul 2016

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same org

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ChristosChristofidis/awesome-deep-learning

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