James McCaffrey explains what neural network activation functions are and why they're necessary, and explores three common activation functions.

The biggest difference in a feedforward network is that it uses more sophisticated activation functions, which usually incorporate more than one layer.

Neural network (NN) classifiers have two activation functions. One activation function is used when computing the values of nodes in the middle, hidden layer, and one function is used when computing ...

In this eWEEK Data Point article, an expert describes the functions of three important layers in an adaptive network: a programmable infrastructure, analytics and intelligence and software control ...

When utilized properly, network-layer security information can be used in conjunction with application whitelisting on the host to create something even better.

Networking author Howard C. Berkowitz provides tips on avoiding and fixing data link network failures in Part 3 of his series.

Implementing at the network layer means embedding PQC-ready encryption protocols directly into network infrastructure through lightweight proxies.

A network device that forwards traffic based on layer 3 information at very high speeds. Traditionally, routers, which inspect layer 3, were considerably slower than layer 2 switches. In order to ...