TensorFlow

• Hessian Example
  • Cubic Lost Function and Taylor Expansion
  • Very Small Neural Network Built With KERAS
  • Hessian Based Training
• MNIST Neural Network Example
• Random SVD
• Newton Method
  • Quadratic Energy Minimization
  • Regression
  • Quasi-Newton Method
  • MPI
• Federated Newton Learn
  • Vanilla Newton
  • FEDNL Rank 1 Compression
  • FEDNL With Diagonal Regularisation And Different Initial Hessian
  • FEDNL LowRank + Diagonal
• Physically Informed Neural Network
  • Example - 1D Poisson (DNN3 \(\sigma = \tanh\))
  • Example - 1D Poisson (DNN3 \(\sigma = \tanh\))
  • Example - 2D Poisson (DNN1 \(\sigma = \tanh\))
  • Example - 2D Poisson (DNN1 Sigmoid)