Hands-on Reinforcement Learning with TensorFlow

Hands-on Reinforcement Learning with TensorFlow Udemy Free download. Train your agent using Reinforcement Learning with Tensorflow’s neural networks, OpenAI Gym & Python, to make it smarter.

This course is written by Udemy’s very popular author Packt Publishing. It was last updated on September 06, 2018. The language of this course is English but also have Subtitles (captions) in English (US) languages for better understanding. This course is posted under the categories of Development, Programming Languages and TensorFlow on Udemy.

There are more than 3352 people who has already enrolled in the Hands-on Reinforcement Learning with TensorFlow which makes it one of the very popular courses on Udemy. You can free download the course from the download links below. It has a rating of 4.4 given by 399 people thus also makes it one of the best rated course in Udemy.

The Udemy Hands-on Reinforcement Learning with TensorFlow free download also includes 4 hours on-demand video, 7 articles, 18 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of Completion and much more.

What am I going to learn?

If you are wondering what you are going to learn or what are the things this course will teach you before free downloading Hands-on Reinforcement Learning with TensorFlow, then here are some of things:

• Get to know important features of RL that are used for AI
• Create agents to perform complex tasks using RL
• Implement the Q-learning and Q-network algorithms for RL
• Apply Deepmind’s Deep Q-network architecture to improve performance
• See improvisations of DQN (Double DQN and Dueling DQN) and other state of the art RL techniques
• Test your RL agent on myriad of games and other environments using the Open AI gym

What do I need?

These are the very few things you need first before you can free download Hands-on Reinforcement Learning with TensorFlow:

• Basic knowledge of machine learning, TensorFlow, and Python is assumed.

Is this course right for me?

If you are still confused whether you should free download Hands-on Reinforcement Learning with TensorFlow or is it the course you are actually looking for, then you should know that this course is best for:

• This course is for AI practitioners, aspiring data science professionals, and machine learning engineers who would like to learn and implement Reinforcement Learning in their applications.

Course Description

You’ve probably heard of Deepmind’s AI playing games and getting really good at playing them (like AlphaGo beating the Go world champion). Such agents are built with the help of a paradigm of machine learning called “Reinforcement Learning” (RL).

In this course, you’ll walk through different approaches to RL. You’ll move from a simple Q-learning to a more complex, deep RL architecture and implement your algorithms using Tensorflow’s Python API. You’ll be training your agents on two different games in a number of complex scenarios to make them more intelligent and perceptive.

By the end of this course, you’ll be able to implement RL-based solutions in your projects from scratch using Tensorflow and Python.

About the Author

Satwik Kansal is a Software Developer with more than 2 years experience in the domain of Data Science. He’s a big open source and Python aficionado, currently the top-rated Python developer in India, and an active Python blogger. Satwik likes writing in-depth articles on various technical topics related to Data Science, Decentralized Applications, and Python. Apart from working full time as a software engineer, you may find him guest blogging for IBM DeveloperWorks and Learndatasci, freelancing, participating in Hackathons, or attending tech-conferences.

Free Download Hands-on Reinforcement Learning with TensorFlow