Deep Learning for Coders with fastai and Pytorch

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• rg111 · Feb 9, 2023 · Recommends

  0. ML by Ng @Stanford 1. Deep Learning Specialization by Ng @Coursera 2. Deep Learning for Coders with fastai and PyTorch by Jeremy Howard 3. Learn PyTorch really well. Either use d2l.ai or the PyTorch book from Manning. START MAKING PROJECTS HERE Now it depends where you want to go. >> Jump the hype train of LLM?…

  on “After Andrew Ng's original Stanford AI Coursera, what?” ↗
• Jugurtha · Feb 25, 2021 · Recommends

  …with Python", by François Chollet.[4][5] "Data Science from Scratch: First Principles with Python", by Joel Grus.[6][7] There are the fast.ai courses on https://fast.ai and also have a book titled: "Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD" by Jeremy Howard and Sylvain Gugger. They have the lectures for several years on machine learning and deep learning. There are many books and resources on how to train…

  on “Ask HN: What are the next steps I should take after finishing ML on coursera?” ↗
• rg111 · Feb 27, 2022 · Recommends

  …big influence in me. CS: I would say that learning to program well made the field worthwhile for me. Others have mentioned Code by Petzold. When I was learning Deep Learning, Jeremy Howard's book "Deep Learning for Coders with fastai and PyTorch" and the lecture videos made Deep Learning easier for me. I did not rely upon only that. But it was a great starting point. The Little Schemer was great, too. This little book is worth much more than…

  on “Ask HN: The book that did it for you in math and/or CS?” ↗
• ipnon · Sep 10, 2022 · Recommends

  “Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD” will allow you to design and implement deep learning models with only good programming skill. Basic maths, no algorithms, no proofs. Howard’s paper on ULMFiT was state…

  on “Ask HN: Which books do you consider real gems in your field of work/study?” ↗
• ericjmorey · Dec 9, 2023 · Recommends

  It's a shame that they don't include a chapter on ethics the way [Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD](https://course.fast.ai/Resources/book.html) does. I hope people read the etics chapter or use the ethics section of the [associated free course](https://course.fast.ai/)…

  on “Dive into Deep Learning: Interactive deep learning book with codes and maths” ↗
• theodpHN · Dec 25, 2020 · Mentions

  …testing, and deployment. And add-ins and tools, like Howard's own nbdev, can help address what's missing in Jupyter Notebook. As an example, Howard notes how fastdoc even enabled him to write and publish "Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD using Jupyter Notebooks." Excellent, inspiring talk! Jeremy Howard - Creating delightful libraries and books with nbdev and fastdoc | JupyterCon 2020 https://www.youtube.com/watch?v=HKt19-GsA1I

  on “Ask HN: Best Talks of 2020?” ↗
• nindalf · Jun 25, 2021 · Mentions

  I'm planning to read - Structure and Interpretation of Computer Programs (SICP). A classic. - Crafting Interpreters. Intro to compilers for me. - Deep Learning for Coders with Fastai and PyTorch. There's some other books in there too, but I'd be really happy if I finished these. I don't have a degree in CS, and most of what I know is self taught. My goal here is to fill in gaps in my knowledge…

  on “Ask HN: Technical Summer Reading List” ↗
• westurner · Aug 26, 2022 · Mentions

  "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

  on “Fast.ai's Practical Deep Learning for Coders Has Been Updated” ↗