This tutorial) is prepared based on a previous version of the project but it still a good resource to start with coding CNNs.

This is a very fast gameplay rate where the reaction of PyGAD is some microseconds that responds to every falling behavior. This is why you would feel the bird is stable and not jumping.

The genetic algorithm is a popular evolutionary algorithm. It uses Darwin's theory of natural evolution to solve complex problems in computer science. But, to do so, the algorithm's parameters need a bit of adjusting. One of the key parameters is mutation. It makes random changes in the chromosomes (i.e.

The genetic algorithm (GA) is a biologically-inspired optimization algorithm. It has in recent years gained importance, as it's simple while also solving complex problems like travel route optimization, training machine learning algorithms, working with single and multi-objective problems, game playing, and more. Deep neural networks are inspired by the idea of how the biological brain works. It's a universal function approximator, which is capable of simulating any function, and is now used to solve the most complex problems in machine learning. What's more, they're able to work with all types of data (images, audio, video, and text).