ML at scale on top of Azure + FPGA

ML at scale on top of Azure + FPGA

FPGAs are the next wave of hardware innovation to transform machine learning. In this session from Build 2018, take a walk through how we are... Details
A Friendly Introduction to Recurrent Neural Networks

A Friendly Introduction to Recurrent Neural Networks

Luis Serrano has a great video explaining the basics of Recurrent Neural Networks, or RNN for those who prefer acronyms. Details
How Bayes Theorem works

How Bayes Theorem works

The great Brandon Rohrer explains how Bayes’ Theorem works in this video. For another look at Bayesian thinking, check out Julia Galef and some of... Details
Monte Carlo Prediction

Monte Carlo Prediction

Siraj Raval programs a virtual robot to do some house cleaning using a technique called Monte Carlo Prediction. In typical Siraj fashion he explains what... Details
Capsule Networks Tutorial

Capsule Networks Tutorial

Aurélien Géron has a tutorial on the hot new architecture for neural networks, invented by Geoffrey Hinton, one of the godfathers of deep learning. Details
Object Detection YOLO Style

Object Detection YOLO Style

Siraj Raval takes on YOLO. It’s not what you think. This time it stands for You Only Look Once, a great object detection method for... Details
Machine learning and AI with .NET

Machine learning and AI with .NET

Watch this session from Connect(); 2017 by Ankit Asthana to learn about innovations in the machine learning and artificial intelligence space across the .NET stack... Details
Generating Pokemon with a Generative Adversarial Network

Generating Pokemon with a Generative Adversarial Network

Siraj Raval explores Generative Adversarial Network (GANs) by using them to create new Pokemon. Details
Deep Dive into the Microsoft Cognitive Toolkit (CNTK)

Deep Dive into the Microsoft Cognitive Toolkit (CNTK)

Here’s a great session from Ignite 2017 that goes deep into CNTK. CNTK is the AI platform of choice within Microsoft and, since it’s open... Details
Deep learning & Back Propagation in the Brain

Deep learning & Back Propagation in the Brain

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... Details