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Q. Explain working neural network work?
ANSWER: A neural network has an input layer with the factors under consideration, a middle or hidden layer that assigns and adjusts weights of the factors, and an output layer that gives the answer in the form of the category the set of inputs belong in.
1. The Goal: Do you think that this is an operational methodology or a philosophy? Please explain. 2. How to apply Constraint Management to a Production Facility? How about to a
Q. Show the Features of parallel virtual machine? Easy to install; Easy to configure; Multiple users each can use PVM concurrently; Multiple applications fro
diifference between pure and impure interpeter
deque insertion and deletion ..
Ans) The simplest way is to make a new selection with Ellipse Select tool and stroke it (Edit -> Stroke Selection...). We welcome patches that add tools to draw geometric primitive
I can send you the lecture notes and assignments, and you will walk me through (either record a screencast, or kind on the assignments in red colored font) steps on how to do the a
Loop Level This is one more level of parallelism where iterative loop instructions can be parallelized. Fine Granularity size is used at this level also. Simple loops in a
Pass I of the assembler must also generate the intermediate code for the processed statements. Justify your answer. Criteria for selection of a suitable intermediate code form
Basics of Caches: "The caches are situated on basis of blocks, the shortest amount of data which may be copied between 2 adjacent levels at a time. "If requested data by th
Classification of Systems Systems may be categorized as follows: a) Formal or Informal b) Abstract or Physical c) Closed or Open d) Automated orManual.
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