Basic Neural Network Library This is a very basic javascript Neural Network library based on the one built by Daniel Shiffman in this playlist using the javascript Matrix Library matrix.js The library can also be used with p5.js Features: Neural Network with variable amounts of inputs, hidden nodes and outputs Multiple hidden layers Activation functions: Sigmoid, Tanh, ReLu Adjustable learning rate Fully connected Support for genetic algorithms: copy-, mutate-, and merge-functionality Save the weights and biases of a NN to a JSON-file Generate a NeuralNetwork-object from a JSON-file