Multi-layer network architectures, Computer Engineering

Assignment Help:

Multi-Layer Network Architectures - Artificial intelligence:

Perceptrons have restricted scope in the type of concepts they may learn - they may just learn linearly separable functions. However, we may think of constructing greater networks by building them out of perceptrons. In such type of greater networks, we call the step function units the perceptron units in multi-layer networks.

As with particular perceptrons, multilayer networks may be used for learning tasks. but, the learning algorithm that we discussed (the backpropagation routine) is resultant mathematically, by using differential calculus. The derivation relies on having differentiable threshold function, which effectively rules out by using perceptron units if we want to be certain that backpropagation works right. The step function in perceptrons is not continuous, so non-differentiable. An alternative unit was therefore selected which had same properties to the step function in perceptron units, but which was differentiable. 

 


Related Discussions:- Multi-layer network architectures

Send a report to the printer, How to send a report to the printer instead o...

How to send a report to the printer instead of displaying it on the screen? We can send a report to the printer instead of displaying it on the screen.  To do this, use the key

What is interpreter, What is interpreter? An  interpreter is a program ...

What is interpreter? An  interpreter is a program that appears to execute a source program as if it were machine language.

Explain the term granularity, Granularity Granularity refers to the qua...

Granularity Granularity refers to the quantity of computation done in concurrent relative to the size of whole program. In concurrent computing, granularity is a qualitative me

Speed up factor, Remember, the value of α is between 0 and 1. Now, let us p...

Remember, the value of α is between 0 and 1. Now, let us put some values of α and compute the speed up factor for increasing values of number of processors.  We get that the S(N) k

Define signal and component of obejct oriented modeling, Define about sign...

Define about signal and component of obejct oriented modeling A signal is a specification of an asynchronous stimulus communicated among instances. A component is a physical

Definitions of the procedures cons, Show that we can represent pairs of non...

Show that we can represent pairs of nonnegative integers using only numbers and arithmetic operations if we represent the pair a and b as the integer that is the product 2a3b. Give

Weka uses a gaussian - radial basis function, A data set with 1000 rows is ...

A data set with 1000 rows is input to a neural network in Weka. The test option is set to 10-fold cross validation and the neural network option validationSetSize = 20%. How many r

Emails, Compare and contrast POP e-mail to Web-based e-mail systems in term...

Compare and contrast POP e-mail to Web-based e-mail systems in terms of control, security, and accessibility.

Basic tradeoff of concerns for instruction set design, Q. Basic Tradeoff of...

Q. Basic Tradeoff of concerns for instruction set design? Basic Tradeoff: Smaller instruction (less space) vs. desire for more powerful instruction repertoire. Generally p

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd