Neural Network

Introduction A potent class of models, convolutional neural networks (CNNs) are said to have a significant influence on computer vision applications. They have produced state-of-the-art...

What is Recurrent Neural Networks? Recurrent Neural Networks are dynamic neural networks whose state evolution depends on both system input and current state. Recurrent Neural...

Kohonen Networks According to Teuvo Kohonen, Kohonen Networks are a novel self-organizing mechanism. The main finding is that signals from a primary event space...

What is Feedforward networks? Feedforward neural networks have one-way connections from the input layer to one or more hidden layers to the output layer. A...

A type of adaptive networks known as Radial Basis Function networks is introduced, providing a unique method for learning and approximating functions. By comparing...

Introduction to Neural Networks What is Neural Network ? Neural networks are machine learning programs, or models, that use methods that resemble how biological neurons collaborate...

What is Perceptron ? Perceptron is a probabilistic model for brain information storage and organizing. It takes an empiricist, or "connectionist," view of information retention...