Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

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 ...

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 ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...