What’s actually happening to a neural network as it learns and what does back-propagation have to do with it?
Emily Lawton discusses what’s new in Azure Cosmos DB’s API for Mongo DB, including new preview features such as support for the aggregation pipeline and unique indexes.
Learn some tips and tricks for importing large backups using MongoDB Tools.
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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.
It’s the latest tech in efficient lighting and a staple of many IoT projects, but how do LEDs work?
In this video by Filmmaker IQ, learn the science behind the Light Emitting Diode and basic concepts on how to wire up simple DIY LED circuits.
The main focus of the channel is for filmmakers, so expect a robust discussion of videography and photography as well. Consider this video a two-fer.
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.
Computerphile has a great video explaining Generative Adversarial Networks aka GANs.