Learning weights in perceptrons, Computer Engineering

Learning Weights in Perceptrons:

Furthermore details are we will look at the learning method for weights in multi-layer networks next lecture. Thus the following description of learning in perceptrons will help to clarify what is going on in the multi-layer case. According to the situation we are in a machine learning setting means we can expect the task to be to learn a target function wh into categories that given as at least a set of training examples supplied with their correct categorisations. However a little thought will be required in order to choose the correct way of thinking about the examples as input to a set of input units so due to the simple nature of a perceptron  there isn't much choice for the rest of the architecture. 

Moreover in order to produce a perceptron able to perform our categorisation task that we need to use the examples to train the weights between the input units and the output unit just to train the threshold. In fact to simplify the routine here we think of the threshold as a special weight that comes from a special  input node in which always outputs as 1. Thus we think of our perceptron like as:  each categorises examples

659_Learning Weights in Perceptrons.png

After then we can justify that the output from the perceptron is +1 if the weighted sum  from all the input units as including the special one is greater than zero but here if it outputs -1 otherwise. According to justification we see that weight w0 is simply the threshold value. Moreover thinking of the network such this means we can train w0 in the same way as we train all the other weights.

Posted Date: 1/11/2013 6:59:27 AM | Location : United States







Related Discussions:- Learning weights in perceptrons, Assignment Help, Ask Question on Learning weights in perceptrons, Get Answer, Expert's Help, Learning weights in perceptrons Discussions

Write discussion on Learning weights in perceptrons
Your posts are moderated
Related Questions
The runqueue is the list of runnable processes on a given processor. There is only one runqueue per processor. Each runqueue contains two priority arrays: Active and Expired. Each

Determine the uses of Programming Language Interface PLI  is  used  for  implementing  system  calls  that would  have  been  hard  to  do  otherwise  (or impossible) using Ve

My name is mrs flo and i apporve dubstep, do you apporve it?

1. Use the Web Site Scan verification point to check the content of your Web site with each revision and make sure that changes have not resulted in defects. 2. Use the Web Sit

Q. Define Master Construct in FORTAN? The master directive has following general form:  #pragma omp master structured_block  It causes master thread to execute structu

Write down the general model for the translation process. For the translation process the general model can be represented as given here:

Why is the Wait-For-Memory-Function-Completed step required when reading from or writing to the main memory? WMFC step is needed for the write control signal / read control si

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

Determine the types of software There are two types of software today: Application and systems. Meaning of the two changes computer to computer. As we concentrate on large c

Building the Structure Chart - Processes in the DFD tend to show single module on the structure chart Afferent processes - give inputs to system Central processes -