AI · alternatives · 2026

24 alternatives to I wrote a book about Grokking Deep Learning

Build neural networks from scratch and truly understand deep learning!

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. I wrote a book about Grokking Deep Learning launched in 2019; newer entries below may have overtaken it.

1IC
I co-wrote a book on training Deep Learning models in Go▲45
A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.
2019 · its alternatives →
2
Neural Networks and Deep Learning▲95
Core concepts behind neural networks and deep learning
2015 · neuralnetworksanddeeplearning.com · its alternatives →
3
Deep Learning▲67
The textbook for modern machine learning
2016 · amazon.com · its alternatives →
4
Sonnet▲134
A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
5
Deep Learning▲5
A book on neural nets for either industry or research
2017 · amazon.com · its alternatives →
6
I built a deep learning engine from scratch in Python▲30
I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
2025 · github.com · its alternatives →
7
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
8
O’Reilly Fundamentals of Deep Learning▲143
Designing next-generation Artificial intelligence algorithms
2016 · oreilly.com · its alternatives →
9
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai · its alternatives →
10
Grokking Algorithms▲70
An illustrated guide for programmers & other curious people
2016 · adit.io · its alternatives →
11
I built a game to help you learn neural network architectures▲321
2024 · graphgame.sabrina.dev · its alternatives →
12
Neural Networks and Deep Learning▲6
Deep Learning explained to your granny
2018 · amazon.com · its alternatives →
13AV
A Visual and Interactive Guide to the Basics of Neural Networks▲63
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train
2016 · jalammar.github.io · its alternatives →
14
Seeking Wisdom With David Cancel - The Secret To Becoming A Learning Machine▲67
The only shortcut David's learned after 5 startups? Learning
2016 · soundcloud.com · its alternatives →
15
I wrote a minimal deep learning library from scratch in Python▲25
A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
16
Deep Learning Gallery▲87
A curated list of awesome deep learning projects
2017 · deeplearninggallery.com · its alternatives →
17
Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157
Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
18
Quick Draw by Google▲197
Can a neural network learn to recognize doodles?
2016 · quickdraw.withgoogle.com · its alternatives →
19
Deep Learning▲2
A Sensible Guide Presenting the Concepts of Deep Learning
2018 · amazon.com · its alternatives →
20
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
21
Deep Learning Framework from scratch (60 step tutorial)▲40
Want to create a Deep Learning framework from scratch? Checkout this resource: https://koki0702.github.io/dezero-book/en/index.html In this book, you will create a deep learning framework called "DeZero" from scratch (from zero), which is the original framework of this book. With minimal code, the framework's modern features are realized. In this book, you will make this small - yet powerful enough - framework in a total of 60 steps. It will deepen your knowledge of modern frameworks such as PyTorch and TensorFlow.
2022 · koki0702.github.io · its alternatives →
22
Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
23
Deep Learning for Program Synthesis▲93
By Rishabh Singh, Jacob Devlin, Abdelrahman Mohamed, and Pushmeet Kohli, Microsoft Research Despite the many advances in computing over the past decades, the actual process of writing computer software has not fundamentally changed — a programmer must manually code the exact algorithmic logic of a p
2017 · microsoft.com · its alternatives →
24
Grokking Algorithms▲77
An illustrated guide for programmers
2016 · amazon.com · its alternatives →

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