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Main Site Documentation my.SciNet

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Lectures

Lectures

Topic outline

- Select activity Introduction
  
  Introduction
  
  intro_I.pdf
  
  lecture1_code.tar.gz
- Select activity Neural networks
  
  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 Convolutional neural networks
  
  Convolutional neural networks
  
  CNNs.pdf
  
  lecture4_code.tar.gz
- Select activity Image classification
  
  Image classification File
- Select activity Variational autoencoders
  
  Variational autoencoders
  
  MNIST_VAE.mpg
  
  mnist_vae.py
  
  VAEs.pdf
- Select activity Diffusion models
  
  Diffusion models
  
  DM.pdf
  
  lecture7_code.tar.gz
- Select activity Graph neural networks
  
  Graph neural networks
  
  GNNs.pdf
  
  lecture8_code.tar.gz
- Select activity Recurrent neural networks
  
  Recurrent neural networks
  
  lecture9_code.tar.gz
  
  RNNs.pdf
- Select activity Physics-informed neural networks
  
  Physics-informed neural networks
  
  lecture10_code.tar.gz
  
  PINNs.pdf
- Select activity Sequence-to-sequence networks
  
  Sequence-to-sequence networks
  
  lecture11_code.tar.gz
  
  S2S.pdf
- Select activity Attention and Transformers
  
  Attention and Transformers
  
  Attention.pdf
  
  lecture12_code.tar.gz

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