What you’ll learn in Cutting-Edge AI: Deep Reinforcement Discovering in Python
- Understand a cutting-edge application of the A2C formula (OpenAI Standards)
- Understand as well as execute Advancement Approaches (ES) for AI
- Understand and also apply DDPG (Deep Deterministic Policy Slope)
Welcome to Cutting-Edge AI!
This is practically Deep Understanding in Python component 11 of my deep discovering series, and also my third support discovering program.
Deep Reinforcement Discovering is actually the mix of 2 topics: Reinforcement Understanding as well as Deep Knowing (Neural Networks).
While both of these have actually been around for rather time, it’s just been recently that Deep Knowing has really taken off, and also along with it, Support Understanding.
The growth of deep learning has actually driven developments in reinforcement learning, which has actually been around given that the 1980s, although some facets of it, such as the Bellman formula, have actually been for a lot longer.
Who this course is for:
- Students and professionals who want to apply Reinforcement Learning to their work and projects
- Anyone who wants to learn cutting-edge Artificial Intelligence and Reinforcement Learning algorithms
|File Name :||Cutting-Edge AI: Deep Reinforcement Learning in Python free download|
|Genre / Category:||Data Science|
|File Size :||5.74 gb|
|Publisher :||Lazy Programmer Inc.|
|Updated and Published:||07 Jul,2022|