Udemy – Practical AI with Python and Reinforcement Learning 2023-4 – Download

explanation

Practical AI with Python and Reinforcement Learning is a highly practical and valuable course focused on artificial intelligence and systematic learning techniques published by Udemy Academy. In this course, you will become familiar with reinforcement learning techniques and methods and design practical, responsive AI. Reinforcement learning is one of the machine learning trends inspired by behavioral psychology. This method focuses on actions that improve the machine’s performance by providing different rewards and steering it in a specific direction. Machines and systems created with this technology have extremely powerful neural networks, allowing them to perform difficult and complex tasks that challenge even human intelligence.

In this subject, Python programming language, one of the most widely used and famous programming languages for artificial intelligence development, was used. The course’s educational approach is completely project-oriented, and at the end of this course you will be able to build artificial intelligence capable of responding to a variety of problems, challenges, tasks and situations. At the start of the course, you will be introduced to Keras and TensorFlow, open source software used for neural network design, deep learning, and machine learning. The most important teaching topics of this course include artificial neural networks, torsional or convergent neural networks, classical Q-learning, deep reinforcement learning, SARSA algorithm, and cross-entropy methods.

What to learn in Practical AI using Python and reinforcement learning

Build powerful AI based on reinforcement learning techniques using the Python programming language
Building a torsional neural network to perform various image operations using TensorFlow
Build a customized AI development environment using the OpenAI platform
Deep Q learning
Using cross-entropy methods to build artificial intelligence based on reinforcement learning techniques
Building artificial neural networks using TensorFlow
Building an intelligent agent using artificial intelligence
SARSA algorithm implementation
and…

Course specifications

Publisher: Udemy
Instructor: Jose Portilla
Language:English
Level: Advanced
Number of classes: 156
Duration: 26 hours 24 minutes

course topic

Practical AI using Python and reinforcement learning

Practical AI and Reinforcement Learning Prerequisites with Python

You should be very familiar with basic Python and installing Python libraries.

This course is not for beginners. I recommend taking the “Data Science and Machine Learning Masterclass” first!

movie

Practical AI using Python and reinforcement learning

Practical AI introduction video using Python and reinforcement learning

installation manual

After extracting, watch with your favorite players.

English subtitles

Quality: 1080p

Changes:

Compared to the 2021/7 version, the 2023/4 version has an increased number of lessons of 32 and an increased class time of 4 hours and 48 minutes. Additionally, course quality has been improved from 720p to 1080p.