Deep Q Learning CartPole using Tensorflow Keras .

This project aims to introduce the concept of Deel Q Learning and use it to solve the CartPole environment from the OpenAI Gym.

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation.

I chose Keras because Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy. In contrast, arbitrarily advanced workflows should be possible via a clear path that builds upon what you’ve already learned.

final look :

I also upload the deploying process in youtube :




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