Tuesday, 7 June 2016

Soft Computing Unit 2 (Neural Network)

Neural Network : Structure and Function of a single neuron: Biological neuron, artificial neuron, definition of ANN, Taxonomy of neural net, Difference between ANN and human brain, characteristics and applications of ANN, single layer network, Perceptron training algorithm, Linear separability, Widrow & Hebb's learning rule/Delta rule, ADALINE, MADALINE, AI v/s ANN. Introduction of MLP, different activation functions, Error back propagation algorithm, derivation of EBPA, momentum, limitation, characteristics and application of EBPA.

4 comments:

  1. what's the best way to learn coding taking in the fact that i know java basics

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    Replies
    1. You can practice and learn from the site https://www.hackerrank.com/

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  2. YOUR NOTES ARE SO IMPRESSIVE .... ACTUALLY SHIVANI OF THIS SUBJECT IS UNAVAILABLE SO I STUDIED ALL TOPICS FROM YOUR NOTES.. THANKS A TON.. :) :)

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