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Machine Learning: Beginner Reinforcement Learning in Python


 Machine Learning: Beginner Reinforcement Learning in Python

 Machine Learning: Beginner Reinforcement Learning in Python  / get udemy course code

Machine Learning: Beginner Reinforcement Learning in Python. How to teach a neural network to play a game using delayed gratification in ...
What you'll learn
  •     Machine Learning
  •     Artificial Intelligence
  •     Neural Networks
  •     Reinforcement Learning
  •     Deep Q Learning
  •     OpenAI Gym
  •     Keras
  •     Tensorflow
  •     Bellman Equation
 Description

This course is designed for beginners to machine learning. Some of the most exciting advances in artificial intelligence have occurred by challenging neural networks to play games. I will introduce the concept of reinforcement learning, by teaching you to code a neural network in Python capable of delayed gratification.

We will use the NChain game provided by the Open AI institute. The computer gets a small reward if it goes backwards, but if it learns to make short term sacrifices by persistently pressing forwards it can earn a much larger reward. Using this example I will teach you Deep Q Learning - a revolutionary technique invented by Google DeepMind to teach neural networks to play chess, Go and Atari.

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