Deep Reinforcement Learning: Hands-on AI Tutorial in Python
Develop Artificial Intelligence Applications using Reinforcement Learning in Python.
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Deep Reinforcement Learning: Hands-on AI Tutorial in Python udemy course
Develop Artificial Intelligence Applications using Reinforcement Learning in Python.
What you'll learn:
- The concepts and fundamentals of reinforcement learning
- The main algorithms including Q-Learning, SARSA as well as Deep Q-Learning.
- How to formulate a problem in the context of reinforcement learning and MDP.
- Apply the learned techniques to some hands-on experiments and real world projects.
- Develop artificial intelligence applications using reinforcement learning.
Requirements:
- Students are assumed to be familiar with python and have some basic knowledge of statistics, and deep learning.
Description:
In this course we learn the concepts and fundamentals of reinforcement learning, it's relation to artificial intelligence and machine learning, and how we can formulate a problem in the context of reinforcement learning and Markov Decision Process. We cover different fundamental algorithms including Q-Learning, SARSA as well as Deep Q-Learning. We present the whole implementation of two projects from scratch with Q-learning and Deep Q-Network.
Who this course is for:
- Machine learning and AI enthusiasts and practitioners, data scientists, machine learning engineers.
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Course Details:
- 4 saat uzunluğunda hazır video içeriği
- 7 indirilebilir kaynak
- 1 kodlama egzersizi
- Ömür boyu tam erişim
- Mobil ve TV'den erişim
- Atamalar
- Bitirme sertifikası
Deep Reinforcement Learning: Hands-on AI Tutorial in Python udemy free download
Develop Artificial Intelligence Applications using Reinforcement Learning in Python.
Demo Link: https://www.udemy.com/course/deep-reinforcement-learning-a-hands-on-tutorial-in-python/
