Python Programming

Department of Computing | Imperial College London

book

Introduction to Deep Learning with PyTorch

  • Chapter 1: Introduction
  • Chapter 2: Gradient Descent
  • Chapter 3: PyTorch Tensors
  • Chapter 4: PyTorch for Automatic Gradient Descent
  • Chapter 5: Training a Linear Model with PyTorch
    • [5.1] Problem Definition
    • [5.2] PyTorch Modules
    • [5.3] Vectorising your computations
    • [5.4] Loss Functions as Modules
    • [5.5] Using Linear operator instead of torch.nn.Parameter
    • [5.6] Summary: Final Code and Results
  • Chapter 6: Introduction to Deep Learning
  • Chapter 7: Building and Training a simple Classification Model
  • Chapter 8: Building and Training an AutoEncoder
  • Chapter 9: Summary

Chapter 5

Training a Linear Model with PyTorch

Training with PyTorch

Rough estimated time needed
45 mins (including exercises)

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Department of Computing | Imperial College London