About this document
Introduction to Neural Networks Basics by Vulli Leela Venkata Phanindra is a document available to read on EtoBox.
This document discusses the key concepts in neural networks including: 1. It introduces multilayer perceptrons (MLPs), which use backpropagation to train multiple layers of nodes to solve problems linearly inseparable problems like XOR. 2. Gradient descent and backpropagation algorithms are described for updating weights in MLPs between input, hidden, and output layers based on errors. 3. Various learning methods are examined like supervised learning, unsupervised learning including competitive and Hebb
- Author
- Vulli Leela Venkata Phanindra
- Language
- EN