A new, project-driven course for practitioners familiar with the fundamentals of deep learning.
In a few years, deep learning has gone from obscure academic idea to deployment in products from translation to robotics. The technology has the potential for even broader application in fields like cybersecurity, agriculture, autonomous vehicles, climate change, healthcare, and basic science. To recognize this impact, the world needs more people who know how to deploy deep neural networks to solve real problems.
This program trains you to build deep learning systems that work in the real world. There are other great resources for learning theory, algorithms, and code frameworks. We expose students to the skills and tricks practitioners use to bridge the gap between theory and practice.
Join head instructor Josh Tobin and weekly guest instructors in exploring advanced approaches to applied deep learning. From identifying and scoping a project, to building a clean dataset, to troubleshooting training, to ensuring reproducible results, by the end of the program students will have completed a hands-on end-to-end project, collaborated on their work with some of industry’s and academia’s top deep learning practitioners, and formed an evergreen community tackling compelling, real-world problems.
If pricing is a hardship, tell us why and we will take that into consideration when evaluating applications. Please reach out to Stephanie at firstname.lastname@example.org with any questions. It’s an exciting time to be in machine learning, hope to see you in our program!