'Output pattern' diaporamas de présentation

NEURAL NETWORKS

NEURAL NETWORKS. Submitted By: Arti Vaidya Anjali Anjali Divya Durgadas Janani Natarajan Course Teacher : Prof. Anita Wasilewska State University of New York at Stony Brook. What is a neural network (NN)?.

2.26k views • 85 slides

Systems Documentation Flowcharts

Systems Documentation Flowcharts. FLOWCHARTS. A flowchart is an analytical technique that describes some aspect of an information system in a clear, concise, and logical manner. Flowcharts use a set of standard symbols to depict processing procedures and the flow of data .

1.41k views • 54 slides

Neural Networks E ssentially a model of the human brain

Neural Networks E ssentially a model of the human brain. Topics. Introduction Layers in Neural Networks Training and Learning Types of Neural Networks Applications of Neural Networks Conclusion. 1. Introduction - Nerve Cell.

753 views • 53 slides

Topic 1

846 views • 47 slides

Learning Neural Networks: Perceptron and Backpropagation

Learning Neural Networks: Perceptron and Backpropagation. Jaap Murre University of Amsterdam. Two main forms of learning. Associative (Hebbian) learning Error-correcting learning Perceptron Delta rule Error-backpropagation aka generalized delta rule aka multilayer perceptron.

599 views • 39 slides

Learning Neural Networks: Perceptron and Backpropagation

Learning Neural Networks: Perceptron and Backpropagation. Jaap Murre University of Amsterdam. Two main forms of learning. Associative (Hebbian) learning Error-correcting learning Perceptron Delta rule Error-backpropagation aka generalized delta rule aka multilayer perceptron.

415 views • 39 slides

Proc. of the 2003 Design Automation Conference , DAC '03, June 2003, pp.318-323.

A transformation based algorithm for reversible logic synthesis D.M. Miller Dept. of Computer Science, Univ. of Victoria, Canada D. Maslov and G.W. Dueck Faculty of Computer Science, Univ. of New Brunswick Canada. Proc. of the 2003 Design Automation Conference , DAC '03, June 2003, pp.318-323.

468 views • 29 slides

Skin Senses

Skin Senses. Touch , Pain, Temperature. WARM UP:. On a piece of paper rate the following on a scale of 1-10 (1 is you barely notice pain, 10 is worst pain imaginable). Paper cut Twist Ankle Bite tongue Hand in bucket of ice water Hit funny bone Being tickled (a lot) Falling on ice

588 views • 21 slides