What you would learn in Practical AI with Python and Reinforcement Learning course?
Please be aware! Please note that this course is still in "early bird," and we are constantly updating it and adding new content. Before enrolling, please remember that the course is not complete.
"The future is here; it's just not evenly distributed."
Ever wondered what Artificial Intelligence is all about? Are you interested in learning how to harness the power and reinforce neural networks learning to create intelligent agents capable of solving complex tasks at a human level?
This ultimate online course teaches you how to harness the power and potential of Neural Networks to create Artificially Intelligent Agents.
Instead of focusing on small examples, this course will focus on a practical approach to building and creating intelligent agents. We want to teach you how to use artificial intelligence in your own situations, environments, and problems. Not just the ones that are included in an online course.
The following topics are covered in this course:
Artificial Neural Networks
Convolution Neural Networks
Methods of Cross-Entropy
Double the DQN
And much more!
This course is designed to teach you how to create deep reinforcement learning agents in your own environment. This course combines theory and intuition with practical code. This course uses slides to show how to link mathematical equations with practical code implementation.
First, we'll show you Deep Learning with Keras, TensorFlow, and then dive into Reinforcement Learning concepts such as Q-Learning. We can then combine these ideas to guide you through Deep Reinforcement Learning agents such as Deep Q-Networks.
Python reinforcement learning
TensorFlow: Creating Artificial Neural Netzes
TensorFlow is used to create Convolution Neural Networks for Images
OpenAI can be used to interact with game environments built into the platform
OpenAI allows you to create your own environments for solving any problem
Artificially Intelligent Agents
Deep Q-Learning (DQN).
DQN with Convolutional Neural Networks
Cross-Entropy Method to Reinforcement Learning
Double the DQN
Download Practical AI with Python and Reinforcement Learning from below links NOW!