Implementing A Deep Learning Chess Engine From Scratch

The neural network is the intuitive and positional side of the hybrid algorithm. It is trained on thousands of master chess games. This game on the left is a game that is played between two neural networks. When looking at the moves that the engine play, it is very clear that the network has learnt some basic positional concepts. For example, you can see that the engines push knights to the center, fianchetto bishops,and push pawns to gain space.