Description
Advanced Reinforcement Learning in Python: Cutting-edge DQN is an advanced reinforcement learning course in Python published by Udemy Academy. During this training, he will become familiar with the process of developing and manufacturing assistants based on artificial intelligence, used in different breeding and reinforcement techniques. Algorithms in the field of emotional enhancement are introduced during this training with the process of developing its most advanced and important algorithms with the PyTorch framework and PyTorch Lightning tool. Implementing a set of adaptive algorithms capable of solving a set of controlled tasks with a specific technical structure based on their previous experiences is one of the most important skills taught in this course.
In the final part of this training, all the skills learned and the material taught are combined and used in the development of an artificial intelligence-based assistant. This assistant is fully adaptive and can make decisions in different situations and act based on the decisions made using artificial neural networks and several methods defined for this purpose.
What you’ll learn in Advanced Reinforcement Learning in Python: Cutting-edge DQNs
- advanced reinforcement learning
- PyTorch framework
- Hyperparameter tuning with Optuna
- Reinforcement learning with raw image data
- Advanced and applied reinforcement learning algorithms
- Building artificial intelligence with the ability to make decisions in different situations
- Know the learning process of each algorithm
- Debugging and expanding the operating range of different algorithms
- And…
Course Specifications
Editor: Udemy
Instructors: Escape Velocity Labs
French language
Level: Introductory to Advanced
Number of lessons: 102
Duration: 8 hours and 26 minutes
course topics
Advanced Reinforcement Learning in Python: Cutting-edge DQN Prerequisites
Be comfortable with programming in Python
Take our “Beginner to Master Reinforcement Learning” course or familiarize yourself with the basics of reinforcement learning (or watch the refresher sections included in this course).
Know basic statistics (mean, variance, normal distribution)
Pictures
Advanced Reinforcement Learning in Python: Introductory Video to Cutting-Edge DQNs
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download link
File password(s): free download software
size
2.4 GB