Deep Reinforcement Learning

Can we program machines to learn like humans? This course will teach you the algorithms for designing self-learning agents like us!

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments...

Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement...

Learn how to apply deep learning to solve complex problems. Train and test your models in TensorFlow, including convolutional and recurrent neural networks.

CS188.1x is an online adaptation of the first half of UC Berkeley's upper division course CS188: Introduction to Artificial Intelligence. About this Course *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain...

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well. Neural...

Study machine learning at a deeper level and become a participant in the reinforcement learning research community.

Learn how to program all the major systems of a robotic car. Topics include planning, search, localization, tracking, and control.