Python Programming

Department of Computing | Imperial College London

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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
  • 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
    • [9.1] Deep Learning with PyTorch - Summary
    • [9.2] Deep Learning with PyTorch - Give us your feedback

Chapter 9

Summary

Rough estimated time needed
5 mins

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Department of Computing | Imperial College London