Life & fun · alternatives · 2026

24 alternatives to I co-wrote a book on training Deep Learning models in Go

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.

This book teaches Go programmers how to build and train deep learning models using the Go programming language. It covers deep learning fundamentals with practical examples relevant to Go developers. The authors wrote… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. I co-wrote a book on training Deep Learning models in Go launched in 2019; newer entries below may have overtaken it.

1
I wrote a book about Go▲919
2021 · practical-go-lessons.com · its alternatives →
2MB
My Book, Hands-On Software Engineering with Golang▲176
2020 · packtpub.com · its alternatives →
3
The Go Programming Language▲60
The authoritative resource for learning Go
2016 · amazon.com · its alternatives →
4
I built an AI that turns GitHub codebases into easy tutorials▲923
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com · its alternatives →
5
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
6
Data Engineering Book – An open source, community-driven guide▲251
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com · its alternatives →
7
We wrote a book about building business applications in Go▲269
Get insights into building modern Go applications from the best Go veterans. Our blog covers best practices, tips, and tricks for creating high-performance, advanced Go apps.
2021 · threedots.tech · its alternatives →
8
I wrote a book about Grokking Deep Learning▲5
Build neural networks from scratch and truly understand deep learning!
2019 · manning.com · its alternatives →
9
GoLearn▲81
Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
10
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai · its alternatives →
11IW
I wrote a book about using Lambda with Go▲103
Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics…
2021 · its alternatives →
12
Fast Deep Reinforcement Learning Course▲148
I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…
2022 · courses.dibya.online · its alternatives →
13
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 →
14
A perceptron with stochastic gradient descent in Go▲94
A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
2017 · github.com · its alternatives →
15
My book for programmers called “Junior to Senior” was published today▲183
After a four year journey, the book I wrote to help junior and mid-level programmers earn their first promotion was published today . The book is titled Junior to Senior: Career Advice for the Ambitious Programmer and is now available on Holloway’s website[0]. I truly believe that soft-skills are what makes the difference between a good programmer and a great one. I also believe that anyone can learn the soft-skills needed to accelerate their programming career. I wish I’d had better resources to learn these things in the early years of my career and I’m hoping this book will become a useful…
2022 · holloway.com · its alternatives →
16
Netmind Power▲272
Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
17DL
Deep Learning GUI to Create, Train and Visualize Models in a Browser▲216
2019 · beta.aifiddle.io · its alternatives →
18
O’Reilly Fundamentals of Deep Learning▲143
Designing next-generation Artificial intelligence algorithms
2016 · oreilly.com · its alternatives →
19
My notes on Working with Go▲185
This repo contains my notes on working with Go and computer systems. - GitHub - betty200744/ultimate-go: This repo contains my notes on working with Go and computer systems.
2020 · github.com · its alternatives →
20
Deep Learning▲67
The textbook for modern machine learning
2016 · amazon.com · its alternatives →
21
Writing An Interpreter In Go▲68
Learn how to build your own programming language interpreter
2016 · interpreterbook.com · its alternatives →
22AV
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 →
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
Software Engineering Daily — TensorFlow with Greg Corrado▲63
Greg Corrado of Google deep dives into machine learning
2015 · softwareengineeringdaily.com · its alternatives →

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