Engineering and Technology
Master the deep reinforcement learning skills that are powering amazing advances in AI—and start applying these skills to applications like video games and robotics.
In the course Deep Reinforcement Learning on Udacity, you will master the foundations of reinforcement learning by implementing classical solution methods. You will learn how to apply deep learning architectures to reinforcement learning tasks, training your own agent to navigate a virtual world using sensory data. Additionally, you will explore the theory behind evolutionary algorithms and policy-gradient methods, designing your own algorithm to train a simulated robotic arm to reach target locations. The course also covers multi-agent reinforcement learning, teaching you how to apply these methods to applications involving multiple interacting agents, such as coordinating autonomous vehicles.
by Udacity
Master the deep reinforcement learning skills that are powering amazing advances in AI—and start app...
by Udacity
Deep learning is driving advances in artificial intelligence that are changing our world—enroll now...
by Udacity
Apply deep learning architectures to computer vision tasks.
by Udacity
Dive deep into the fundamental theoretical and practical topics related to deep learning.
by Udacity
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
by Udacity
Developed by Google and Udacity, this course teaches a practical approach to deep learning for softw...
by Udacity
Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.
by Udacity
Build a solid foundation in supervised, unsupervised, and deep learning. Then, use these skills to t...
by Udacity
Build a solid foundation in supervised, unsupervised, and deep learning. Then, use these skills to t...
by Udacity
Learn the in-demand skills of computer vision, a growing field of AI, that empower advancements in r...