Skip to content
Premium Content

Mathematical Bedrock

The specific mathematical tools that recur throughout large-scale training: tensors, SVD, probability, autodiff, optimisation, and numerical precision.

This chapter requires a subscription to access.

What you'll unlock:

  • 1. Tensors, Matrix Multiply, and Linear Maps
  • 2. Eigendecomposition, SVD, and Low-Rank Approximation
  • 3. Probability, Entropy, and Cross-Entropy Loss
  • 4. Automatic Differentiation and the Chain Rule
  • 5. Gradient Descent, Adam, and Optimisation Landscapes
  • 6. Numerical Precision Fundamentals
Subscribe to Unlock

Already have an account? Sign in