Who recommended Deep Learning?

10 people have recommended Deep Learning in the interviews, articles and reading lists we track, including Nassim Nicholas Taleb, Elon Musk, Vinod Khosla and Satya Nadella. Each name links to their full reading list.

Is Deep Learning worth reading?

10 people we track recommend it. It is best for: a graduate student starting machine-learning research who needs mathematical grounding and a map of topics to choose a thesis direction — this book supplies derivations and terminology to read research papers with less confusion; a software engineer moving into an ML role at a product company who must explain model failure modes and trade-offs to teammates — the text links equations to algorithmic behavior useful for technical discussions; a data scientist evaluating modeling approaches for production systems who wants math-grounded comparisons of optimization, capacity, and generalization rather than heuristic checklists. It may not suit: you'll likely put it down when long derivations and dense notation accumulate without immediate runnable examples; if you prefer learn-by-doing tutorials, this is where interest fades; annoying if you prefer narrative case studies, product stories, or intuition-first explanations — the tone is technical and formal rather than anecdotal; not for absolute beginners without calculus, linear algebra, and probability background — you'll spend more time relearning math than absorbing the machine-learning material.

What books are like Deep Learning?

Readers of Deep Learning also turn to AI Superpowers, Python Machine Learning and Competing in the Age of AI, based on the lists and recommenders these books share.

Deep Learning by Ian Goodfellow: Recommended by 10 People

Name: Deep Learning
Author: Ian Goodfellow

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the comp...