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
    • [3.1] Introduction
    • [3.2] Installing PyTorch
    • [3.3] Let's create tensors!
    • [3.4] Quiz - Tensor Initialisation
    • [3.5] Let's play with tensors!
    • [3.6] Quick exercises
    • [3.7] Useful tensor methods
    • [3.8] Reshaping tensors
    • [3.9] Concatenating tensors
    • [3.10] Extracting sub-tensors
    • [3.11] Quiz - Manipulating 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

Chapter 3

PyTorch Tensors

Tensors

Rough estimated time needed
40 mins (including exercises)

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Department of Computing | Imperial College London