Today I'll show you how to beat Pong with a Deep Q Learning Agent in the Keras Framework. No prior experience needed, I'll cover everything you need to know as we go along.
As a bonus, we'll learn how to use the OpenAI Gym Environment wrappers to stack frames and preprocess our frames to get faster processing time and to give our agent a sense of motion.
#DeepQLearning #Keras #ReinforcementLearning
Learn how to turn deep reinforcement learning papers into code:
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https://www.neuralnet.ai/courses
Or, pickup my Udemy courses here:
Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22
Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22
Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22
Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP-JUNE-22
Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion
Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql
Come hang out on Discord here:
https://discord.gg/Zr4VCdv
Need personalized tutoring? Help on a programming project? Shoot me an email! phil@neuralnet.ai
Website: https://www.neuralnet.ai
Github: https://github.com/philtabor
Twitter: https://twitter.com/MLWithPhil