Learning algorithm for multi-layered networks, Computer Engineering

Assignment Help:

Learning algorithm for multi-layered networks:

Furthermore details we see that  if S is too high, the contribution from wi * xi is reduced. It means that t(E) - o(E) is multiplied by xi after then if xi is a big value as positive or negative so the change to the weight will be greater. Here to get a better feel for why this direction  correction works so it's a good idea to do some simple calculations by hand. 

Here η simply controls how far the correction should go at one time that is usually set to be a fairly low value, e.g., 0.1. However the weight learning problem can be seen as finding the global minimum error which calculated as the proportion of mis-categorised training examples or over a space when all the input values can vary. Means it is possible to move too far in a direction and improve one particular weight to the detriment of the overall sum: whereas the sum may work for the training example being looked at and it may no longer be a good value for categorising all the examples correctly. Conversely for this reason here η restricts the amount of movement possible. Whether large movement is in reality required for a weight then this will happen over a series of iterations by the example set. But there sometimes η is set to decay as the number of that iterations through the entire set of training examples increases it means, can move more slowly towards the global minimum in order not to overshoot in one direction.

However this kind of gradient descent is at the heart of the learning algorithm for multi-layered networks that are discussed in the next lecture. 

Further Perceptrons with step functions have limited abilities where it comes to the range of concepts that can be learned and as discussed in a later section. The other one way to improve matters is to replace the threshold function into a linear unit through which the network outputs a real value, before than a 1 or -1. Conversely this enables us to use another rule that called the delta rule where it is also based on gradient descent.


Related Discussions:- Learning algorithm for multi-layered networks

Difference between external and global variables, Global variables are acce...

Global variables are accessible only to the batch program while external variables can be referenced from any batch program residing in the similar system library.

Shell script, shell script to find whether the given number is Armstrong or...

shell script to find whether the given number is Armstrong or not

Develop a calculator in masm, Assignment:  develop a calculator in MASM. ...

Assignment:  develop a calculator in MASM. Text chapters covered:  1 through 4, 5.4, 5.5, 6.3, 7.4 You will develop a "calculator" algorithm in MASM using reverse-polish nota

The voltage of telephone given by telephone companies, Telephone companies ...

Telephone companies normally provide a voltage of to power telephones? Telephone companies usually give a voltage of to power telephones -48 volts DC.

What are the advantages of inheritance in c++, It allows code reusability. ...

It allows code reusability. Reusability saves time in program development. It encourages the reuse of proven and debugged high-quality software, thus decreasing problem after a sys

What are the differences between struts and units, What are the differences...

What are the differences between struts and units?  A warm up question. Units are static objects that exist from the start of the simulation right up to its end, whereas struts

Illustrated three stages of data mining process, Illustrated three stages o...

Illustrated three stages of data mining process? Stage 1: Exploration: This stage generally starts along with data preparation that may involve cleaning data, selecting subse

Storing a word in memory - computer architecture, Storing a word in Memory:...

Storing a word in Memory: That is similar process with fetching a word from memory. The required address is loaded into the MAR After that data to be written are lo

C program, program for finding the area under the curve   #includ...

program for finding the area under the curve   #include float start_point, /* GLOBAL VARIABLES */ end_point, total_area; int

Minimum total number of shelv, Write a program that finds the minimum total...

Write a program that finds the minimum total number of shelv, C/C++ Programming

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