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Main Site Documentation my.SciNet Old Education Site

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Lectures

Lectures

Topic outline

- Select activity 1. Introduction
  
  1. Introduction
  
  intro_I.pdf
  
  lecture1_code.tar.gz
- Select activity 2. Neural networks
  
  2. Neural networks
  
  intro_II.pdf
  
  lecture2_code.tar.gz
  
  mnist.pkl.gz
- Select activity 3. Frameworks
  
  3. Frameworks
  
  frameworks.pdf
  
  lecture3_code.tar.gz
- Select activity 4. Convolutional neural networks
  
  4. Convolutional neural networks
  
  CNNs.pdf
  
  lecture4_code.tar.gz
- Select activity 5. Image classification
  
  5. Image classification File
- Select activity 6. Variational autoencoders
  
  6. Variational autoencoders
  
  MNIST_VAE.mpg
  
  mnist_vae.py
  
  VAEs.pdf
- Select activity 7. Generative adversarial networks
  
  7. Generative adversarial networks
  
  GANs.pdf
  
  MNIST_gan.mpg
  
  MNIST_gan.py
- Select activity 8. Diffusion models
  
  8. Diffusion models
  
  DM.pdf
  
  lecture8_code.tar.gz
- Select activity 9. Graph neural networks
  
  9. Graph neural networks
  
  GNNs.pdf
  
  lecture9_code.tar.gz
- Select activity 10. Recurrent neural networks
  
  10. Recurrent neural networks
  
  lecture10_code.tar.gz
  
  RNNs.pdf
- Select activity 11. Sequence-to-sequence networks
  
  11. Sequence-to-sequence networks
  
  lecture11_code.tar.gz
  
  S2S.pdf
- Select activity 12. Attention networks
  
  12. Attention networks
  
  Attention.pdf
  
  lecture12_code.tar.gz

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