Cover of Grokking Deep Learning

Grokking Deep Learning

Andrew Trask

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training...

12.5 score
#170 overall

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

Machine LearningAI / MLdeep-learningnlp
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🟢 Developer Verdict

A practical, from-scratch approach to understanding neural networks, emphasizing intuition over dense theoretical baggage.

Read this if

  • You seek to build deep learning networks from first principles.
  • You prefer practical understanding over dense academic theory.
  • You want to develop a strong intuition for deep learning mechanics.

Skip this for now if

  • You need coverage of advanced deep learning architectures.
  • You are looking for tutorials on specific DL frameworks.
  • You already possess a deep understanding of neural network internals.
Developer signal: Overwhelming Consensus · 100% 4 analyzed mentions PracticalFoundationalWell Written

🔄 Compare & Reading Path

📊 Why Developers Recommend

1.

It provides practical guidance for AI and machine learning work.

2.

Cited by 5 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: PracticalFoundationalWell WrittenUnique PerspectiveDeep Technical

💬 What Developers Say

"I've been reading the book Grokking Deep Learning by [Andrew W. Trask] and instead of summarizing concepts, I want to review them by building a simple neural network."

— leogau · How I Implemented The Most Simple Neural Network Using Python · Feb 16, 2021

"If you are looking to understand the theory behind Neural Networks more without all the theoretical load, then doing it grokking style can be a great idea!"

— dqmonn · Top Books to get started in Machine Learning · Jan 28, 2020

"Here's a couple books I've read and used so far:"

— bredmond1019 · From Teacher of Many to Teacher of One – Tips on How to Be a Self-Taught Learner · Jan 26, 2022

Based on 4 developer article mentions

👤 Who Should Read This

Best for

  • Self-taught developers building formal foundations
  • Career changers transitioning into software engineering
  • Developers who want to write better code

Less ideal for

  • Readers looking only for quick interview patterns
Difficulty: Beginner-friendly Style: Deep, Practical

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Recommended in 5 Articles

Score Trend

Last 90 Days

Articles

0

vs prev 90d

+3

Unique authors

5

Total mentions

5

Source Platforms

DEV 5
📰 About this signal · 4 analyzed mentions · Mostly High confidence

Article Types

Personal Story 2
Book List 1
Book Review 1

Confidence

High 3
Medium 1
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