What does HackerNews think of fastbook?

Ask HN: Which books do you consider real gems in your field of work/study? | Sep 2022

Link to book (read online):

https://course.fast.ai/Resources/book.html

Fast.ai's Practical Deep Learning for Coders Has Been Updated | Aug 2022

"Practical Deep Learning for Coders" 2022: https://github.com/fastai/course22

"Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD" (2020) https://github.com/fastai/fastbook

There's also a new nbdev; nbdev v2: https://github.com/fastai/nbdev and nbdev-template to start new projects with: https://github.com/fastai/nbdev-template

Ask HN: Easy way to incorporate machine learning into a project | Jun 2021

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 the Coursera version because he uses the board (whiteboard in 2018, blackboard in 2008-ish version)

Dataflowr – Deep Learning DIY | Mar 2021

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I used fastai book: https://github.com/fastai/fastbook

It also exists as hardcover

A notebook-free notebook or Jupyter dev env for coders | Dec 2020

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We're experimenting with `nbdev`[0], especially in our effort to support fast.ai's[1] latest course 'fastbook'[2] on iko.ai[3], to test their notebooks faster. Though scheduling notebooks on our platform is a breeze[4][5] and we could launch the 20 notebooks really fast even manually and check their output while running (some fail that way as they required user interaction for FileUpload or something, and we decided to use fixtures).

- [0]: https://github.com/fastai/nbdev

- [1]: https://www.fast.ai/

- [2]: https://github.com/fastai/fastbook

- [3]: https://iko.ai

- [4]: https://iko.ai/docs/notebook/#long-running-notebooks

- [5]: https://pbs.twimg.com/tweet_video/Entg8COXcAIDdTI.mp4

Asciidoctor | Oct 2020

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In case it's of interest, we wrote a system for converting Jupyter Notebooks to asciidoc, which we used to publish an O'Reilly book.

This is the book: https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/d...

This is the nb->asciidoc convertor: https://github.com/fastai/fastdoc

These are the source notebooks: https://github.com/fastai/fastbook/

Fast.ai releases new deep learning course | Aug 2020

I do recommend getting the book that just came out (I did, it is fantastic)

https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/d...

that said: fast.ai also released a draft of the book available here (including the notebooks) https://github.com/fastai/fastbook

edit: if you can afford it, getting the book is a great way to support the authors

Python Textbook as a Jupyter Notebook | Aug 2020

The perfect example of a textbook as a collection of Jupyter notebooks may be the Deep Learning for Coders book: https://github.com/fastai/fastbook

Ask HN: What's the best way to start learning about / playing with GPT-3 and AI? | Jul 2020

Try the https://www.fast.ai/ courses, its a mix between this is state of the art and teaching how to make an actual machine learning product.

They got an upcoming book, and I think that the epub is already out and the have the draft at github publicly available https://github.com/fastai/fastbook