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Understanding Artificial Neural Networks by RidwanIlyasCahya is a document available to read on EtoBox.
What is Understanding Artificial Neural Networks about?
This document discusses artificial neural networks and connectionist models. It covers topics like threshold units, gradient descent, multilayer networks, backpropagation, and training neural networks. Specific algorithms discussed include perceptrons, which use a training rule to learn linearly separable functions. Multilayer networks can represent more complex functions using backpropagation to calculate error gradients and update weights. Applications mentioned include face recognition and speech recogni
- Author
- RidwanIlyasCahya
- Language
- EN