Deep Reinforcement Learning, co-created with Nvida & Unity
Skills Covered: Reinforcement Learning, Neural Networks, PyTorch, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG)
ABOUT THIS NANODEGREE
One of the most advanced Udacity’s programs. During the course, you will build a portfolio of your own reinforcement learning projects.
You will be introduced to deep reinforcement learning and learn how to use the Markov Decision Process framework. Gain practical knowledge on how to solve real-world problems with reinforcement learning. You will get in-depth skills on how to leverage neural networks when solving more complex problems using the Deep Q-Networks algorithm. You will advance your Actor-Critic Methods and connect with professionals from Unity and NVIDIA.
The course takes around 4 months to complete. To enroll, you need some experience with Python, probability, machine learning, and deep learning. All you learn during the course, you can apply to robotics and applications like video games in the future. If you want to master cutting-edge technology, this program is just perfect for you.
Apple, Facebook, and Google are heavily investing in deep reinforcement learning. That creates more job opportunities in this exciting field!
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