COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Frank Rosemarie
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Frank Rosenblet
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Frank Rosenblatt
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Frank Rosenbat
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Detailed explanation-1: -Around the same time, Frank Rosenblatt invented the Perceptron which was a very, very simple classifier but when it was combined in large numbers, in a network, it became a powerful monster.
Detailed explanation-2: -It was a demonstration of the “perceptron” – “the first machine which is capable of having an original idea, ” according to its creator, Frank Rosenblatt ‘50, Ph. D. ‘56.
Detailed explanation-3: -Rosenblatt perceptron is a binary single neuron model. The inputs integration is implemented through the addition of the weighted inputs that have fixed weights obtained during the training stage. If the result of this addition is larger than a given threshold the neuron fires.
Detailed explanation-4: -The Rosenblatt’s first theorem about the omnipotence of shallow networks states that elementary perceptrons can solve any classification problem if there are no discrepancies in the training set.
Detailed explanation-5: -Who invented perceptron neural networks? Explanation: The perceptron is one of the earliest neural networks. Invented at the Cornell Aeronautical Laboratory in 1957 by Frank Rosenblatt, the Perceptron was an attempt to understand human memory, learning, and cognitive processes. 2.