[Day 122] Dive into Deep Learning - Interactive deep learning book with code, math, and discussions
Hello :) Today is Day 122! A quick summary of today: discovered and read a bit of Dive into Deep Learning I randomly found the book from some post on r/learnmachinelearning about books on DL (I always manage to find some new cool book from these weekly posts) It seems a bit crazy that such a book is available for free. It is adopted by so many university courses and so many great practitioners participated in its writing. Every topic contains an executable colab linked to it, and its available in PyTorch, Tensorflow, MXNET and Jax. Today I had a read through 3. Linear Neural Networks for Regression 4. Linear Neural Networks for Classification 5. Multilayer Perceptrons 6. Builders’ Guide The book is great because under each topic there is also a live discussion section where one can ask questions. Overall (so far!), I think An Introduction to Statistical Learning is better. It has code as well and very detailed exercises. The problem I encountered in the above 4 chapters is that s