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
    • [7.1] Introduction
    • [7.2] Getting Dataset
    • [7.3] Implementing Simple Classifier
    • [7.4] Training our Classifier
    • [7.5] Divide your training dataset in batches!
    • [7.6] Predict Labels of Images
    • [7.7] Improving our Classifier
    • [7.8] Summary
  • Chapter 8: Building and Training an AutoEncoder
  • Chapter 9: Summary

Chapter 7: Building and Training a simple Classification Model

Summary

face Luca Grillotti

Well done! We have finished implementing a Deep Learning Classification model!

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

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Department of Computing | Imperial College London