Deep Learning with Python Teaches GPT From Scratch

// 2h agoTUTORIAL

Deep Learning with Python Teaches GPT From Scratch

François Chollet and Matthew Watson’s free online book teaches the foundations behind modern LLMs, with chapters 15–16 covering Transformers, dot-product attention, and building a miniature GPT from scratch. Keras 3 examples run across TensorFlow, JAX, and PyTorch backends.

// ANALYSIS

This is one of the strongest beginner-friendly bridges between deep-learning intuition and working LLM code, though it teaches miniature models rather than frontier-scale training.

–Chapter 15 explains why attention works before introducing Transformer architecture
–Chapter 16 implements tokenization, causal attention, decoding, and a mini-GPT
–The book’s progression lets readers revisit mathematical and programming foundations as needed
–Keras 3 keeps the concepts portable across TensorFlow, JAX, and PyTorch
–Readers should calibrate expectations: this builds understanding, not production-scale LLM infrastructure

// TAGS

deep-learning-with-pythonllmtrainingframeworkfine-tuningstreaming

DISCOVERED

2h ago

2026-08-24

PUBLISHED

9h ago

2026-08-24

RELEVANCE

8/ 10

AUTHOR

fchollet

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