Tutorials have been chosen to maximize learning curve, i.e. learn the most in the shortest amount of time. Tutorials cover topics from basic deep learning all the way to research done within the last 1 year! They cover significantly more material than a typical deep learning course and take lesser time.

Pre-requisites: A beginner's guide to the fundamentals of deep learning

We'll cover the following topics:

• Convolutional Neural Network (CNN) for object recognition
• CNN extensions for image captioning, object detection
• Image generation methods, including Generative Adversarial Networks
• Pitfalls of CNNs

Pro-tip: If you want to skip sections or tutorials, mark them as completed.