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.
Siraj Raval takes a look at how Amazon’s MXNet Deep Learning framework stacks up to other deep learning frameworks.
It’s got an imperative programming API and it does well with distributed training.
I first heard of Ripple while watching Bloomberg TV, where the CEO of the company was touting the cryptocurrency and its rapid acceptance by the financial establishment. That made me wonder: how could a company “own” a cryptocurrency? Wouldn’t that make it centralized? Isn’t that antithetical to cyrptocurrencies?
Fortunately, Siraj Raval comes to the rescue with a great explainer video on Ripple