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Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise rather than degrading gracefully such programs tend to either be right or fail completely. Neural architectures because they capture knowledge in a large number of fine grained units. Seem to have more potential for partially matching noisy and incomplete data. Neural architectures are also more robust because knowledge is distributed somewhat uniformly around the network.
what is the scope of doing a final year project on cloud computing?
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. Becaus
Q. Explain Fixed Point Representation? The fixed-point numbers in binary has a sign bit. A positive number has a sign bit 0 whereas negative number has a sign bit 1. In fixed-p
Design and test the functions that are needed: a. Test Main in the Testing project add a new file main.c. b. Test Drivers in the Testing project add 2 new files, testDriver
Q. Describe the Size and Speed of Scanners? Before actual scanning, a quick, low resolution scan known as pre-scan is made to preview the image and select scanning area. After
how to implement the multiple stack
What is the difference between intranet and extranet? Given table illustrates brief overview of the differences among the three kinds of the network: Network
Explain optimizing transformations? Optimizing transformations: It is a rule for rewriting a segment of a program to enhance its execution efficiency without influencing i
Explain the mechanidm of the rusting of iron on the basis of electrochemical corrosion?
Why is Multiplexer Tree needed? Draw the block diagram of a 32:1 Multiplexer Tree and explain how input is directed to the output in this system. Ans. One of the possible
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