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 ...

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

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 ...

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

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...