'1 fail' 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:

502 views • 36 slides

CS344 : Introduction to Artificial Intelligence

CS344 : Introduction to Artificial Intelligence. Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 30: Computing power of Perceptron; Perceptron Training. Perceptron. recap. The Perceptron Model

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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 30: Perceptron training convergence; Feedforward N/W 24 th March, 2011. PTA on NAND. ?. NAND: Y X 2 X 1 Y

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CS621/CS449 Artificial Intelligence Lecture Notes

CS621/CS449 Artificial Intelligence Lecture Notes. Set 4: 13/08/2004, 17/08/2004, 18/08/2004, 20/08/2004. Outline. Proof of Convergence of PTA Some Observations Study of Linear Separability Test for Linear Separability Asummability. Proof of Convergence of PTA.

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CS344: Principles of Artificial Intelligence

296 views • 21 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