193. How Deep Neural Networks Work
A conceptual overview of neural networks, the workhorse of artificial intelligence
You can enroll below or, better yet, unlock the entire End-to-End Machine Learning Course Catalog for 9 USD per month.
Neural networks are at the core of what we are calling Artificial Intelligence today. They can seem impenetrable, even mystical, if you are trying to understand them for the first time, but they don't have to.
Even if you are completely new to neural networks, this series of lectures will get you comfortable with the concepts and math behind them.
PreviewHow neural networks work
PreviewWhat neural networks can learn and how they learn it
PreviewHow backpropagation works
PreviewHow convolutional neural networks (CNNs) work
PreviewHow recurrent neural networks (RNNs) and long-short-term memory (LSTM) work
PreviewDeep learning demystified
PreviewGetting closer to human intelligence through robotics
PreviewHow CNNs work, in depth
I love solving puzzles and building things. Machine learning lets me do both. I got started by studying robotics and human rehabilitation at MIT (MS '99, PhD '02), moved on to machine vision and machine learning at Sandia National Laboratories, then to predictive modeling of agriculture DuPont Pioneer, and cloud data science at Microsoft. At Facebook I worked to get internet and electrical power to those in the world who don't have it, using deep learning and satellite imagery and to do a better job identifying topics reliably in unstructured text. Now at iRobot I work to help robots get better and better at doing their jobs. In my spare time I like to rock climb, write robot learning algorithms, and go on walks with my wife and our dog, Reign of Terror.