A good place to start is defining the API for our network resource. We start by creating an example network request and use it to scaffold the API definition. We can use the example from the existing ...

What is this book about? Network analysis is often taught with tiny or toy data sets, leaving you with a limited scope of learning and practical usage. Network Science with Python helps you extract ...

A neural network is a mathematical model that consists of layers of interconnected nodes, called neurons, that process information. Each neuron receives inputs from other neurons or external sources, ...

In the rapidly evolving field of network engineering, automation has become an indispensable tool for managing and maintaining complex network infrastructures efficiently. Python offers an extensive ...

Microsoft Research data scientist Dr. James McCaffrey explains what neural network Glorot initialization is and why it's the default technique for weight initialization. In this article I explain what ...

You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...