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fastai
fastbook
Jupyter Notebook2020–2024
fastai / fastbook

fastbook

The fastai book, published as Jupyter Notebooks

16Distinct people
20Mentions
0Explicit recommenders
25.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The fastai book, published as Jupyter Notebooks

GitHub

Where it is used

No documented product use was verified in the last source check.

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:01:16 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 year20 dated mentions

Observed mentions: 2020-02-28 22:02:37 UTC to 2024-01-18 05:56:53 UTC.

0369122020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 11 mentions; 3 submissions, 8 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024

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
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC1138
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC404
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110

What Hacker News says

2 sources
For the purpose of this question, you might search for pre-trained models that predict what you want to predict, and use them. https://modelzoo.co/ https://github.com/tensorflow/models https://cv.gluon.ai/model_zoo/index.html If there are no pre-trained models, you could take a look at fast.ai courses: https://course18.fast.ai/ml.html (for Machine Learning (ML)) https://www.fast.ai (for others "DL" (Deep Learning)) This courses is targeted towards programmers, and they dive right into the code to use ML (train models and use them) with Jupyter notebooks. They also have a book whose notebooks are here: https://github.com/fastai/fastbook If you have some maths background (high-school, or first year university), check out Stanford's CS229 with Andrew Ng: https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXSh... I think it's better than
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the Coursera version because he uses the board (whiteboard in 2018, blackboard in 2008-ish version)
In Ask HN: Easy way to incorporate machine learning into a project

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