Description
Practical AI with Python and Reinforcement Learning is a very practical and valuable training course focused on artificial intelligence and system learning techniques published by Yudemy Academy. In this course, you will get acquainted with the techniques and methods of reinforcement learning (Reinforcement Learning) and you will design a practical and reactive artificial intelligence. Reinforcement learning is one of the trends in machine learning that is inspired by behavioral psychology. This method focuses on behaviors that reinforce the machine’s performance by providing various rewards and drive it 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 is used for the development of artificial intelligence, which is one of the most widely used and famous programming languages. The educational approach of this complete course is project-oriented and at the end of this course you will be able to create artificial intelligence to answer different problems, issues, challenges and conditions. At the beginning of your course with Cross open source software (Keras) and Tensorflow (TensorFlowYou will learn that it is used in the field of neural network design and deep learning and machine learning. Among the most important educational topics of this course, we can mention artificial neural network, convolutional or convolutional neural networks, classical Q-learning, deep reinforcement learning, SARSA algorithm, cross entropy methods, etc.
What you will learn in the Practical AI with Python and Reinforcement Learning course:
- Building a powerful artificial intelligence based on reinforcement learning techniques using Python programming language
- Building a convolutional neural network using TensorFlow to work on different images
- Using the OpenAI platform to launch a personalized artificial intelligence development environment
- Deep Q-Learning
- Using cross-entropy methods to build artificial intelligence based on reinforcement learning techniques
- Building an artificial neural network with TensorFlow
- Building an intelligent agent using artificial intelligence
- Implementation of SARSA algorithm
- And …
Course details
Publisher: Yudmi
teacher: Jose Portilla
English language
Training level: advanced
Number of courses: 156
Training duration: 26 hours and 24 minutes
Course headings
Practical AI with Python and Reinforcement Learning course prerequisites
You should be very comfortable with basic Python and installing Python libraries.
This is NOT a course for beginners, we highly suggest you take our “Data Science and Machine Learning Masterclass” first!
Course images
Practical AI with Python and Reinforcement Learning course introduction video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 1080p
Changes:
The 2023/4 version has increased the number of 32 lessons and the duration of 4 hours and 48 minutes compared to 2021/7. Also, the course quality has been increased from 720p to 1080p.
download link
Password file(s): www.downloadly.ir
Size
9.92 GB
Be the first to comment