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Artificial Neural Networks : An Introduction

Artificial Neural Networks : An Introduction. G.Anuradha. Learning Objectives. Reasons to study neural computation Comparison between biological neuron and artificial neuron Basic models of ANN Different types of connections of NN, Learning and activation function

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Introduction to Artificial Intelligence (G51IAI)

Introduction to Artificial Intelligence (G51IAI). Dr Matthew Hyde Neural Networks. More precisely: “ Artificial Neural Networks” Simulating, on a computer, what we understand about neural networks in the brain. Lecture Outline. Biology History Perceptrons Multi-Layer Networks

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The McCulloch-Pitts Neuron

The McCulloch-Pitts Neuron. Characteristics. The activation of a McCulloch Pitts neuron is binary. Neurons are connected by directed weighted paths. A connection path is excitatory if the weight on the path is positive else its inhibitory.

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1.36k views • 8 slides

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