Neural networks are an exciting field of software development used to calculate outputs from input data. While the idea seems simple enough, the implications of such networks are staggering—think optical character recognition, speech recognition, and regression analysis. With Neural Networks Using C# Succinctly by James McCaffrey, you’ll learn how to create your own neural network to solve classification problems, or problems where the outcomes can only be one of several values.
Learn about encoding and normalizing data, activation functions and how to choose the right one, and ultimately how to train a neural network to find weights and bias values that provide accurate predictions.
An artificial neural network (sometimes abbreviated ANN, or shortened to just "neural network" when the context is clear) is
a software system that loosely models biological neurons and synapses. Before explaining exactly how neural networks work, it is
useful to understand what types of problems they can solve.
Blazor Splitter Example - Expand and Collapse Panes
This sample demonstrates the expand and collapse functionalities of the Blazor Splitter. Hover over the separator and click the corresponding icon to expand or collapse a pane.
Collapse behavior can be enabled for specific panes. Icons appear when hovering over the separator and are always visible on mobile devices. When a pane is expanded or collapsed, the remaining panes automatically adjust to fill the layout.