This repository will contain my notes and experiments about various artificial intelligence and deep-learning concepts as I learn about them.

Content of this repository will come from the following sources:

• MIT 6.S099: Artificial General Intelligence
• Google's Machine Learning Crash Course with TensorFlow APIs
• Fast.AI
• Andrew Ng's Deep Learning (dot) AI
• Adit Deshpande's Machine Learning Blog
• Siraj Raval's Machine Learning Youtube Channel
• Sachinruk's DeepSchool.IO
• Deep-learning Book
• Deep Learning for Self-Driving Cars
• Deep Reinforcement Learning Bootcamp
• Artificial General Intelligence
• Learn Machine Learning, The Self-Starter Way and 8 Machine Learning Projects for Beginners
• Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
• Udacity's Deep-Learning Foundation ND💵
• Udacity's Artificial Intelligence ND💵