Cover of Deep Learning with Python

Deep Learning with Python

Francois Chollet

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library.

20.5 score
#92 overall

Score based on developer article recommendations — not sales data or reviews.

Machine LearningPythonAI / MLdeep-learningnumpy
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🟢 Developer Verdict

A practical introduction to deep learning concepts, guiding developers through implementation using Python and the Keras library.

Read this if

  • You want to learn deep learning directly from Keras's creator.
  • You are starting your journey into deep learning with Python.
  • You prefer learning deep learning through practical code examples.

Skip this for now if

  • You seek advanced research topics in deep learning algorithms.
  • You prefer a heavily theoretical, math-first approach to ML.
  • You primarily work with PyTorch or other deep learning frameworks.
Developer signal: Overwhelming Consensus · 100% 6 analyzed mentions PracticalFoundational

🔄 Compare & Reading Path

📊 Why Developers Recommend

1.

It makes AI and machine learning concepts accessible to a broader audience.

2.

Cited by 8 different developers, each bringing their own experience and perspective.

3.

Valued for its practical approach — concepts connect directly to real-world engineering decisions and daily work.

Top signals: PracticalFoundational

💬 What Developers Say

"I highly recommend the Cholet's book for a primer on gradient descent and the chain rule that underpins what's happening in the model."

— jeffisadams · Human Not Human · Sep 12, 2019

"I'm trying to learn ML and recently bought the book [Deep Learning with Python] by [François Chollet]."

— hydroweaver · Keras Sentiment Analysis in plain english · Dec 12, 2018

"Here's an implementation of the IMDB sentiment model from the book with some changes"

— hydroweaver · Keras Sentiment Analysis in plain english · Dec 12, 2018

Based on 6 developer article mentions

👤 Who Should Read This

Difficulty: Beginner-friendly Style: Practical, Foundational

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Score Trend

Last 90 Days

Articles

0

vs prev 90d

+6

Unique authors

8

Total mentions

9

Source Platforms

DEV 9
📰 About this signal · 6 analyzed mentions · Mostly High confidence

Article Types

Personal Story 3
Tutorial With Reference 2
Book List 1

Confidence

High 4
Medium 2
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