Introduction to Machine Learning and Deep Learning
In 2016 the Google supercomputer AlphaGo beat the world champion of the board game Go, a highly complex mathematical game. This milestone demonstrated the possibilities of Artificial Intelligence and set the scene for new technologies which are now transforming our lives, from the way we drive to the way we buy clothes. Thanks to recent advances in graphics acceleration hardware and neural network development tools, the benefits of Artificial Intelligence are within reach for any business. This presentation introduces the underlying theory of Machine Learning and Deep Learning and explains how to practically apply it. Topics covered include the training process, model types, development tools, common pitfalls and real-life examples. Attendees will walk away with a kick start to help them apply Machine Learning and Deep Learning in their projects.
To post reply to a comment, click on the 'reply' button attached to each comment. To post a new comment (not a reply to a comment) check out the 'Write a Comment' tab.
Please login (on the right) if you already have an account on this platform.
Otherwise, please use this form to register (free) an join one of the largest online community for Electrical/Embedded/DSP/FPGA/ML engineers: