'Perceptron training algorithm' diaporamas de présentation

CS623: Introduction to Computing with Neural Nets (lecture-2)

Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay. CS623: Introduction to Computing with Neural Nets (lecture-2). Recapituation. The human brain. Insula: Intuition & empathy. Pre-frontal cortex: Self control. Amygdala: Aggresion. Hippocampus:

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CS621: Artificial Intelligence

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CS344: Introduction to Artificial Intelligence (associated lab: CS386)

CS344: Introduction to Artificial Intelligence (associated lab: CS386). Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 29: Perceptron training and convergence 22 nd March, 2011. The Perceptron Model

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20.5 Nerual Networks

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CS621: Artificial Intelligence Lecture 14: perceptron training

CS621: Artificial Intelligence Lecture 14: perceptron training. Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay. The Perceptron Model

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Supervised Function Approximation

Supervised Function Approximation. In supervised learning, we train an ANN with a set of vector pairs, so-called exemplars . Each pair ( x , y ) consists of an input vector x and a corresponding output vector y .

321 views • 17 slides

CS621 : Artificial Intelligence

CS621 : Artificial Intelligence. Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 22 Perceptron Training Algorithm and its Proof of Convergence. ? , ?. ? , <. w 1. w 2. w n. w 1. w 2. w n. w 3. x 1. x 2. x 3. x n. x 1. x 2. x 3. x n. Perceptron Training Algorithm (PTA).

229 views • 16 slides