Siraj Raval explores Generative Adversarial Network (GANs) by using them to create new Pokemon.
The legendary Andrew Ng interviews Head of Baidu Research, Yuanqing Lin.
Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning discusses deep learning and back propagation in the brain.
In this Heroes of Deep Learning video, the legendary Andrew Ng interviews the equally illustrious Ian Goodfellow, the creator of GANs.
What’s actually happening to a neural network as it learns and what does back-propagation have to do with it?
Deep learning and AI are fundamentally changing the way data is used in computation. They enable computing capabilities that will transform almost every industry, scientific domain, and public usage of data and compute.
The recent success of deep learning algorithms can be seen as the culmination of decades of progress in three areas: research in DL algorithms, broad availability of big data infrastructure, and the massive growth of computation power produced by Moore’s law and the advent of parallel compute architectures.
Deep learning has been employed successfully in such diverse areas as healthcare, transportation, industrial IoT, finance, entertainment, and retail, in addition to high-performance computing.
Examples shown in this video illustrate how the approach works and how it complements high-performance data analytics and traditional business intelligence.
Professor Pieter Abbeel, a professor at UC Berkeley, discusses the use of deep learning in training robots to perform tasks.
Tom Dietterich delivers a talk to the National Academies of Sciences, Engineering, and Medicine at a two-day workshop they organized on the capabilities and applications of artificial intelligence and machine learning for the intelligence community.