A group of researchers has done a study with a network science approach, measuring the connections between different brain regions as participants learned to play a simple game. The differences in ...

If you use a 'constant' learning rate type, you specify that rate using the learning_rate_init parameter. This value often has a huge effect on the performance of the resulting neural network model.

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

Most of the challenge of performing neural network quantile regression is finding good values for the four key hyperparameters: number hidden nodes, learning rate, quantile rate, max epochs.

What is an artificial neural network? Artificial neural networks are one of the main tools used in machine learning.