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

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of ...

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When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.

Keras is one of the leading high-level neural networks APIs. It is written in Python and supports multiple back-end neural network computation engines.

Ksenia Ponomareva and Simone Caenazzo show the feasibility of overcoming the interpretability hurdles around the application of neural networks in the estimation of credit risk for a portfolio of ...

People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations.