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DeepTrackAI
DeepLearningCrashCourse
Jupyter Notebook2026–2026
DeepTrackAI / DeepLearningCrashCourse

DeepLearningCrashCourse

"Deep Learning Crash Course" is a comprehensive and up-to-date guide that takes you from simple neural networks all the way to cutting-edge deep learning architectures-no advanced math and programming required, just a basic knowledge of programming.

2Distinct people
2Mentions
0Explicit recommenders
206GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

"Deep Learning Crash Course" is a comprehensive and up-to-date guide that takes you from simple neural networks all the way to cutting-edge deep learning architectures-no advanced math and programming required, just a basic knowledge of programming.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2026-01-12 11:09:27 UTC to 2026-02-26 03:46:27 UTC. Weeks start Monday, UTC.

012026-01-12 00:00:00 UTC to 2026-01-19 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 122026-01-19 00:00:00 UTC to 2026-01-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-26 00:00:00 UTC to 2026-02-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-02 00:00:00 UTC to 2026-02-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 22026-02-09 00:00:00 UTC to 2026-02-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-16 00:00:00 UTC to 2026-02-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-23 00:00:00 UTC to 2026-03-02 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsFeb 23

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 122026-01-12 00:00:00 UTC2026-01-19 00:00:00 UTC101
Jan 192026-01-19 00:00:00 UTC2026-01-26 00:00:00 UTC000
Jan 262026-01-26 00:00:00 UTC2026-02-02 00:00:00 UTC000
Feb 22026-02-02 00:00:00 UTC2026-02-09 00:00:00 UTC000
Feb 92026-02-09 00:00:00 UTC2026-02-16 00:00:00 UTC000
Feb 162026-02-16 00:00:00 UTC2026-02-23 00:00:00 UTC000
Feb 232026-02-23 00:00:00 UTC2026-03-02 00:00:00 UTC110

What Hacker News says

2 sources
We just published Deep Learning Crash Course (No Starch Press), a project based intro where you build modern models from scratch in PyTorch. It goes from basic neural nets all the way to CNNs, transformers, diffusion models, GNNs, plus RL and active learning. Free sample chapter here: https://nostarch.com/download/samples/DeepLearningCrashCours... and full free companion code here: https://github.com/DeepTrackAI/DeepLearningCrashCourse/ If you’re learning DL and want to build (not just read), this is for you. Looking forward to hearing what you think!
In No Starch Press – Deep Learning Crash Course

MAKE YOURSELF AT HOME

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