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Practical AI with Python and Reinforcement Learning

Via Udemy

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Overview

Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs! What you'll learn: Reinforcement Learning with PythonCreating Artificial Neural Networks with TensorFlowUsing TensorFlow to create Convolution Neural Networks for ImagesUsing OpenAI to work with built-in game environmentsUsing OpenAI to create your own environments for any problemCreate Artificially Intelligent AgentsTabular Q-LearningStateactionrewardstateaction (SARSA)Deep Q-Learning (DQN)DQN using Convolutional Neural NetworksCross Entropy Method for Reinforcement LearningDouble DQNDueling DQN Please note! This course is in an "early bird" release, and we're...

Syllabus

  • Course Overview
  • Course Set-Up and Installation Procedures
  • Numpy Basics Overview
  • Matplotlib and Visualization Overview
  • Machine Learning, Deep Learning, and Reinforcement Learning
  • Pandas and Scikit-Learn Crash Course
  • Artificial Neural Network and TensorFlow Basics
  • Convolutional Neural Networks with TensorFlow
  • Reinforcement Learning - Core Concepts
  • Open AI Gym Overview


Practical AI with Python and Reinforcement Learning
Go to Class

via Udemy

2 hours 25 minutes

Certificate Available

English

On-Demand

Advanced

Instructor

Jose Portilla

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