Beau Carnes

Grokking Deep Learning in Motion is a new liveVideo course that takes you on a journey into the world of deep learning. Rather than just learn how to use a single library or framework, you’ll actually discover how to build these algorithms completely from scratch!

Professional instructor Beau Carnes breaks deep learning wide open, drawing together his expertise in video instruction and Andrew Trask's unique, intuitive approach from Grokking Deep Learning! As you move through this course, you’ll learn the fundamentals of deep learning from a unique standing! Using Python, as well as Jupyter Notebooks, you’ll get stuck right in to the basics of neural prediction and learning, and teach your algorithms to visualize things like different weights. Throughout, you’ll train your neural network to be smarter, faster, and better at its job in a variety of ways, ready for the real world!

Packed with great animations and explanations that bring the world of deep learning to life in a way that just makes sense, Grokking Deep Learning in Motion is exactly what anyone needs to build an intuitive understanding of one of the hottest techniques in machine learning.

This liveVideo also works perfectly alongside the original Grokking Deep Learning by Andrew Trask, bringing his unique way to teaching to life.

Algorithms in Motion teaches you how to apply common algorithms to the practical problems you face every day as a programmer. Following the expert guidance of liveVideo instructor Beau Carnes, you'll start with the basics, including Big O notation, fundamental data structures, and recursion. Then, you'll explore problem-solving techniques, that will empower you to see the algorithm you need in the task you're trying to accomplish. Finally, you'll finish the course by applying more advanced algorithms, such as hash tables, graph algorithms, and K-nearest.

This liveVideo course is perfect paired with Aditya Bhargava’s Grokking Algorithms, bringing the classic algorithms inside to life.