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 :