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

Add a byte number from one memory location, Add a byte number from one memo...

Add a byte number from one memory location to a byte from subsequent memory location and put sum in the third memory location. Also save carry flag in the least significant bit of

How do you create a permanent cookie, How do you create a permanent cookie?...

How do you create a permanent cookie?  By setting the expiry date of the cookie to a later on time (like 10 years later.)

Affective functioning - integrated test result, Mr. X's MMPI suggests that ...

Mr. X's MMPI suggests that he either suppresses anger and hostility or has a naturally low level of anger and hostility (O-H=58, ANG=36, TPA=41, AGGR=36). His responses on the PAS

Show the noframes tag, Q. Show the Noframes Tag? tag can be used for t...

Q. Show the Noframes Tag? tag can be used for those browsers which aren't able to interpret tags. Even though most, if not all, of your visitors would

Define diffrent aspects of a system, Q. Define diffrent aspects of a System...

Q. Define diffrent aspects of a System? The aspects of a System are as below: Organization implies order and structure. It is aprearrangement of components which helps t

What is anonymous file transfer protocol, What is Anonymous File Transfer P...

What is Anonymous File Transfer Protocol? Anonymous FTP: While a FTP client contacts a server, in that case, the daemon will ask for an account number or username and it

Create a system dynamic model, Easter Island is a small island (about 150 s...

Easter Island is a small island (about 150 square miles in area) in the Pacific Ocean about 2,000 miles from South America. In about 400 AD there was a small population of settlers

Explain cache organisation, Q. Explain Cache Organisation? Cache memori...

Q. Explain Cache Organisation? Cache memories are found in nearly all latest computers.  They are very helpful for increasing speed of access of information from memory.  Let's

What is the significance of nonactionattribute, In general, all public proc...

In general, all public processes of a controller class are treated as action processes. If you require prevent this default behaviour, just decorate the public process with NonActi

Determine the advantages of bcd adder, Determine the advantages of BCD Adde...

Determine the advantages of BCD Adder Now let us see the arithmetic addition of two decimal digits in the BCD, with a possible carry from previous stage. As each input digit do

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