Siraj Raval demonstrates how to use TensorFlow to track people’s facial expressions and body positions with a regular webcam.
Siraj Raval promises to teach you Deep Learning in 6 weeks. Given his track record, it’s safe to say he can pull it off.
Siraj Raval explores the use of AI in classifying diseases in medical imagining.
The one and only Siraj Raval takes a closer look at Hashgraph.
All neural networks use activation functions, but the reasons behind using them are never clear!
In this video, the great Siraj Raval discusses what activation functions are, when they should be used, and what the difference between them is.
Siraj Raval asks 67 questions of Pieter Abbeel, who got his PhD at Stanford University under the mentorship of Andrew Ng and went on to become a professor at UC Berkeley.
He’s worked at OpenAI, Willow Garage and now Embodied Intelligence.Drawing on recent advances in Deep Imitation Learning and Deep Reinforcement Learning, Embodied Intelligence is developing AI software that makes it easy to teach robots new, complex skills.
In this video, the great Siraj Raval recounts the times when he wasn’t that great and how he grew from the experience. Truly inspirational.
Siraj Raval explains the importance of math to machine learning.
In case the last video I posted didn’t explain blockchain well enough, here’s Siraj’s take on the technology.