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Perceptrons:
However the weights in any ANN are usually just real numbers and the learning problem boils down to choosing the best value for each weight in the network. Because there are two important decisions to make rather than we train a artificial neural network as: (i)overall architecture of the system in which how input nodes represent given examples and how many hidden units or hidden layers to have and how the output information will give us an answer and other (ii) that how the units calculate their real value output from the weighted sum of real valued inputs.
Here answer to (i) is always found through experimentation by respect to the learning problem at hand as: different architectures are tried but they evaluated on the learning problem until the best one emerges. In generally perceptrons in which we have no hidden layer or the architecture problem boils down to just specifying how the input units represent the examples given to the network.
Define the Programmable logic devices (PLD)? In the world of digital electronic systems there are three essential kinds of devices 1.memory, 2.microprocessors, and 3.logic. The
Q. Create an input buffer ? CODE SEGMENT ... MOV AH, 0AH ; Move 04 to AH register MOV DX, BUFF ; BUFF must be defined in data
difference between pure and impute inter preter
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what is the anatomy of digital computer
desing mode level counter starting at 0011 using D flipflop
A Master group consists of? A master group have 300 voice channels.
A disk drive with removable disks is known as removable drive. A removable disk can be replaced by other similar disk on same or different computer so providing huge data storage w
What are advantages and disadvantages of using EEPROM? The benefits are that EEPROM do not have to be removed for erasure. Also it is possible to delete the cell contents selec
Often calculating all the data is not possible by aggregations for this reason some of the difficult data problems are solved. In order to verify which data should be solved and me
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