Description
Practical AI with Python and Reinforcement Learning is a very practical and valuable training course focusing on artificial intelligence and systems learning techniques published by Udemy Academy. In this course, you will become familiar with reinforcement learning techniques and methods and design practical and responsive AI. Reinforcement learning is one of the trends in machine learning that draws inspiration from behavioral psychology. This method focuses on behaviors that improve machine performance by providing various rewards and pointing in a specific direction. Machines and systems created with this technique have a very powerful neural network and can perform difficult and complex tasks that challenge even human intelligence.
In this course, the Python programming language, which is one of the most widely used and famous programming languages, was used to develop artificial intelligence. The pedagogical approach of this course is entirely project-oriented, and at the end of this course you will be able to build an artificial intelligence to respond to various problems, issues, challenges and situations. At the beginning of the course, you will learn about the open source software Keras and TensorFlow, which are used in the design of neural networks, deep learning and machine learning. Some of the most important educational topics in this course include artificial neural networks, torsional or convergent neural networks, classical Q-learning, deep reinforcement learning, SARSA algorithm, cross-entropy methods, etc
What You’ll Learn in Practical AI with Python and Reinforcement Learning
- Build a powerful AI based on reinforcement learning techniques using the Python programming language
- Create a torsion neural network using TensorFlow to work on different images
- Use the OpenAI platform to set up a custom AI development environment
- Deep Q learning
- Using cross-entropy methods to build artificial intelligence based on reinforcement learning techniques
- Build an artificial neural network with TensorFlow
- Build an intelligent agent using artificial intelligence
- Implementation of the SARSA algorithm
- And …
Course specifications
Publisher: Udemy
Instructors: Jose Portilla
French language
Advanced level
Number of lessons: 124
Duration: 21 hours and 36 minutes
Course topics on 2021/9
Hands-on AI with Python and Reinforcement Learning Prerequisites
You should be very comfortable with basic Python and installing Python libraries.
This is NOT a beginner’s course, we strongly suggest that you take our “Masterclass Data Science and Machine Learning” first!
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