Discover the 20 best neural network software. Learn about the features of each software and find the best one.

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining.

Neural network regularization is a technique used to reduce the likelihood of model overfitting. There are several forms of regularization. The most common form is called L2 regularization. If you ...

For months the scientists worked on training and testing so-called Convolutional Neural Networks to recognize cell extensions, cell components and synapses and to distinguish them from each other.

Neural networks are close to how we think the brain operates. I won't state how neural networks operate as there are undoubtably better explanations online. However, they aren't the end-all for AI.