Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...