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
  • Chapter 6: Introduction to Deep Learning
  • Chapter 7: Building and Training a simple Classification Model
  • Chapter 8: Building and Training an AutoEncoder
    • [8.1] Introduction
    • [8.2] Implementing Simple Auto-Encoder
    • [8.3] Training our Auto-Encoder
    • [8.4] Refactoring our Auto-Encoder
    • [8.5] Summary
  • Chapter 9: Summary

Chapter 8: Building and Training an AutoEncoder

Summary

face Luca Grillotti

Phew… That was long! But we’re done with our implementation of a vanilla Auto-Encoder.

If you want to play with the full code, we provided it in this Colab Notebook.

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Department of Computing | Imperial College London