The Little Book of Deep Learning [pdf] (fleuret.org)

Article summary

The article is not available, but the discussion revolves around a book on deep learning that is optimized for small screens. The book's formatting and content are praised for being easy to read and understand. Readers are looking for ways to convert their existing PDFs and eBooks into a similar format. The book's author, François Fleuret, is also mentioned as a professor who teaches a course on deep learning.

Main themes

• deep learning
• book formatting
• AI vs ML
• technical terms
• history of AI
• learning resources
• naming problem

What commenters say

• The book's formatting is optimized for small screens, making it easy to read on phones and Kindles.
• Converting existing PDFs and eBooks into a mobile-friendly format can be done using tools like Calibre and k2pdfopt.
• The distinction between AI and ML is not always clear, with some people using the terms interchangeably and others making a distinction between the two.
• The book's use of technical terms and jargon is well-explained, making it accessible to readers who are new to the field.
• The history of AI and ML is complex, with the terms being used differently over time and in different contexts.
• Some readers find the book to be too advanced, and are looking for more basic resources to learn about deep learning.
• The book's author is a professor who teaches a course on deep learning, and his course materials are available online.
• The naming problem is a significant issue in the field of AI and ML, with different people using different terms to describe the same concepts.