Doing Siraj Raval’s “Learn Machine Learning in 3 months”: Week 10-12

In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3

This is my last blog post in this series, because I will be going on a vacation. Last week we studied Siraj Raval’s “Intro to Deep Learning” series. This series is a bit more challenging than the previous playlist by Siraj, but covers all the essential deep learning concepts and implementations.

This week (week 10) is about doing the fast.ai course. I’m curious what additional concepts will be explained!

Week 11 and 12 are reserved for implementing your own Deep Learning projects. You can use Siraj Raval’s Github repositories for inspiration. I also suggest reading the book “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville if you really want to get into Deep Learning. This book is an excellent primer on Deep Learning. You can read the book online here or you can order the book here.

Month 3: Deep Learning

Week 1: Intro to Deep Learning
Week 2: Deep Learning by fast.ai
Week 3-4: Deep Learning Projects

For the full curriculum check out Siraj Raval’s Github: https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months