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Introduction to Neural Networks Basics by Senthilselvi A is a document available to read on EtoBox.

The document provides an introduction to neural networks, detailing the structure and function of biological and artificial neurons, including perceptrons and their learning algorithms. It discusses key concepts such as activation functions, weight and bias significance, and the gradient descent optimization method. Additionally, it addresses the limitations of single-layer perceptrons and the necessity of multi-layer networks for solving non-linearly separable problems.

Author
Senthilselvi A
Language
EN