Backpropagation learning routine, Computer Engineering

Backpropagation Learning Routine:

Conversely as with perceptrons there the information in the network is stored in the weights than the learning problem comes down to the question as: how do we train the weights to best categorise the training examples. So whenever we hope that this representation provides a good way to categorise unseen examples. 

Hence in outline the backpropagation method is the as same for perceptrons as: 

1.  Whether we choose and fix our architecture for the network, which will contain input,  hiddedn and output units and all of that will contain sigmoid functions. 

2.  Hence we randomly assign the weights between all the nodes. So the assignments should be to small numbers, usually between -0.5 and 0.5. 

3.  Its means that each training example is used and one after another just to re-train the weights in the network. Hence in this way is done is given in detail below. 

4.  So now after each epoch as run through all the training examples and a termination condition is checked like also detailed below. So Notice that for this method whether we are not guaranteed to find weights that give  the network the global minimum error that is perfectly correct categorisation of the training examples. Thus the termination condition may have to be in terms of a as possibly small number of mis-categorisations. So we see later that this might not be such a good idea that is though.

Posted Date: 1/11/2013 7:14:57 AM | Location : United States







Related Discussions:- Backpropagation learning routine, Assignment Help, Ask Question on Backpropagation learning routine, Get Answer, Expert's Help, Backpropagation learning routine Discussions

Write discussion on Backpropagation learning routine
Your posts are moderated
Related Questions
Consider the following page reference and reference time strings for a program: Page reference string: 5,4,3,2,1,4,3,5,4,3,2,1,5,..... Show how pages will be allocated using t

Q. What is Data Transmission and Modems? Data can be transferred between two stations in either serial or parallel transmission. Parallel data transmission, in which a group of

What is 'inode'? All UNIX files have its description kept in a structure called 'inode'. The inode have info about the file-size, its location, time of last access, time of las

Explain the number unobtainable tone in strowger telephony with waveforms and the timings. In the following figure illustrates the number unobtainable tone that is continuous

What are the requirements to design Combinational Logic ? Ans . Design Requirements of Combinational Logic:- (i) By the specifications of circuit, we find out the

Explain pass-1 algorithm of passes used in two-pass assembler? Pass I: (i) Separate the symbol, operand fields and mnemonic opcode (ii) Make the symbol table (iii)

Analysis of Sort_Bitonic(X) The bitonic sorting network needs log n number of phases for performing task of sorting the numbers. The first n-1 phases of circuit can sort two n/

What is an interface and what is an abstract class? Please, expand by examples of using both. Explain why.   In a interface class, all methods are abstract without execution w


Types Of Categorization The subsequent categorization of parallel computers has been identified: 1)  Categorization based on the instructions and data streams  2)  Catego