Practical Ai With Python And Reinforcement Learning

Practical Ai With Python And Reinforcement Learning
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn
Reinforcement Learning with Python
Using TensorFlow to create Convolution Neural Networks for Images
Using OpenAI to work with built-in game environments
Using OpenAI to create your own environments for any problem
Tabular Q-Learning
State-action-reward-state-action (SARSA)
Deep Q-Learning (DQN)
DQN using Convolutional Neural Networks
Cross Entropy Method for Reinforcement Learning
Double DQN
Dueling DQN

Requirements
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!

Description
Who this course is for:
For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: – – – – – – – –