I Cloned Pong With a Neural Network

This isn’t a neural network that was trained to play Pong, but rather one that was trained to BE Pong.

To make this happen, I designed a machine learning model that is well-suited to learning the physics of the game Pong. I trained that model by showing it data from hundreds of thousands of sequential frames captured during normal gameplay. As a result, the model learned the deceptively complex rules and physics of the game. By feeding control inputs (for the paddles) into the trained model, you can play a game of Pong.

Here is a quick demo of the neural network itself being played:

https://i.redd.it/lhntiat5lfkf1.gif

More details can be found at: https://www.hackster.io/nickbild/i-cloned-pong-with-a-neural-network-ad6816