Tutorials have been chosen to maximize learning curve, i.e. learn the most in the shortest amount of time. Tutorials cover introductory topics for deep learning!
Expected time to completion: 2-3 weeks (10-15 sessions)
Pre-requisites: Calculus (specifically, differentiation)
Pro-tip: If you want to skip sections or tutorials, mark them as completed.
Machine Learning basics: what it is, gradient descend
Deep Learning basics: what it is, neural networks, computational graphs, back-propagation
Convolutional Neural Networks: the most successful architecture for computer vision
Recurrent Neural Networks: the most successful architecture for natural language processing, and other domains with sequential input