Weight training calculations, Computer Engineering

Weight Training Calculations:

However we have more weights in our network than in perceptrons but we firstly need to introduce the notation as: wij just to specify the weight between unit i and unit j. Means as with perceptrons there we will calculate a value Δij to add on to each weight in the network after an example has been tried for this. In fact to calculate the weight changes for a particular example, E or where we first start with the information regarding how the network should perform for E. So that is there we write down the target values ti(E) that each output unit Oi  should produce for E. But notice that for categorisation problems there ti(E) will be zero for all the output units except one that is the unit associated with the correct categorisation for E. So now for that unit, ti(E) will be 1. 

Here another example E is propagated by the network so that we can record all the observed values oi(E) for such output nodes Oi. In fact at the same time there we record all the observed values hi(E) for the hidden nodes. After then, for each output unit Ok  and we calculate its error term as follows as: 

1795_Weight Training Calculations.png

 Hence the error terms from the output units are required to calculate error terms for the hidden units. However this method gets its name it means that we propagate this information backwards by the network. Now next for each hidden unit Hk then we calculate the error term as follows as:

1825_Weight Training Calculations1.png

Posted Date: 1/11/2013 7:16:55 AM | Location : United States







Related Discussions:- Weight training calculations, Assignment Help, Ask Question on Weight training calculations, Get Answer, Expert's Help, Weight training calculations Discussions

Write discussion on Weight training calculations
Your posts are moderated
Related Questions
Give example of Real time (transaction) processing Using this illustration of booking seats on a flight, below sequence of events would occur: -  Customer/travel agent conta

A managed bean - sometimes simply referred to as an MBean - is a type of JavaBean, developed with dependency injection. Managed Beans are particularly used in the Java Management E

Data buffering is quite helpful for purpose of smoothing out gaps in speed of processor and I/O devices. Data buffers are registers that hold I/O information temporarily. I/O is pe

What are the advantages and disadvantages of a Smart Card?    Advantages of Smart Card: 1. It gives convenience & support for multiple currencies over borders. 2. Used

Let most segment of a name in DNS represents? Lest Most segment of a name in DNS shows: Individual computer.

What do understand by the granularity of a parallel system ? Granularity refers to the quantity of computation complete in parallel relative to the size of the entire program. I

When producing a datapool, you state the kinds of data (called data types) that the script will send for example, customer names, addresses, and unique order numbers or product nam

Q. Writing down your own Interrupt Service Routines? Here are a few rules which should be kept in mind while writing down your own Interrupt Service Routines: 1.  Use Int 21

Divide overflow is generated when  (A) Sign of the dividend is dissimilar from that of divisor.  (B) Sign of the dividend is same as that of divisor.  (C) The first part

What is data mining? Data Mining: It is an analytic process designed to explore data and after that to validate the findings through applying the detected patterns to lat