---
author: François Fleuret
category:
  - p/nf
date: '2022-08-21'
description: compact introduction to deep learning theory and practice, emphasizing intuition, proofs, and small code examples over heavy frameworks.
external: https://fleuret.org/public/lbdl.pdf
finished: 2024
id: The Little Book of Deep Learning
modified: 2026-06-05 15:07:59 GMT-04:00
notebook: '[[thoughts/deep learning|omnipotent]]'
posters: '[[library/posters/the-little-book-of-deep-learning.jpg]]'
status: finished
subcategory: ml
tags:
  - ml
  - llm
title: The Little Book of Deep Learning
year: 2023
authors: François Fleuret
created: '2022-08-21'
published: '2022-08-21'
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slug: library/The-Little-Book-of-Deep-Learning
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---