Let's learn about some key math concepts behind deep learning shall we? We'll build a 3 layer neural network and dive into some key concepts that makes deep learning give us such incredible results. Coding challenge for this video: https://github.com/llSourcell/how_to_... Jovian's Winning Code: https://github.com/jovianlin/siraj-in... Vishal's Runner up Code: https://github.com/erilyth/DeepLearni... Linear Algebra cheatsheet: http://www.souravsengupta.com/cds2016... Calculus cheatsheet: http://tutorial.math.lamar.edu/pdf/Ca... Statistics cheatsheet: http://web.mit.edu/~csvoss/Public/usa... And if you have never had experience with any of these 3 and want to learn from absolute scratch, I'd recommend the respective KhanAcademy courses: https://www.khanacademy.org/math More Learning Resources: https://people.ucsc.edu/~praman1/stat... http://www.vision.jhu.edu/tutorials/I... http://datascience.ibm.com/blog/the-m...