What people recommend, in their own words, with the receipt.
by Ian Goodfellow, Yoshua Bengio, Aaron Courville
2 people
The "Deep Learning" Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville (https://www.deeplearningbook.org/) is a good ressource to get a quick overview of the current tools.
A reading list he posted, linked from his homepage bio, of the books and courses he used to self-teach ML/NLP; updated in 2024 with post-transformer advice.
thomwolf.io ↗·2024-01-01
Read the Deep Learning book. It is available as a pdf or on Amazon .
His site's FAQ page answering "What resources should I use to get started with Deep Learning?" (undated page; date is the earliest evidence available, the current copy). (undated page)
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.
The small bar beside a date shows how dated a recommendation is for its kind of thing.
The bar shows how dated a recommendation is, for its kind of thing. Full and green is recent. It drains, and turns amber and then grey, as the post gets older.
What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The bar is empty after about:
A striped bar means the post carries no date and the date shown is an estimate. No date at all, no bar.