Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...