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Neural Networks from First Principles

Build a neural network from scratch and understand every step of training.
Level: BeginnerLength: In depth

Preview: not published yet

This tutorial is not available to read yet. The chapters and figures on this page are sample content. Request a tutorial

What's inside

  1. Chapter 1: What a neuron computes
  2. Chapter 2: Layers and activations
  3. Chapter 3: The forward pass
  4. Chapter 4: Loss functions
  5. Chapter 5: Gradients and the chain rule
  6. Chapter 6: Backpropagation step by step
  7. Chapter 7: Training loops
  8. Chapter 8: Overfitting and regularisation
  9. Chapter 9: Your first image classifier
  10. Chapter 10: Where to go next

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