APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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WHICH OF THE FOLLOWING STATEMENTS DOES NOT HOLD TRUE?
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ACTIVATION FUNCTIONS ARE THRESHOLD FUNCTIONS
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BOTH FORWARD AND BACK PROPAGATION TAKE PLACE DURING THE TRAINING PROCESS OF A NEURAL NETWORK
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ERROR IS CALCULATED AT EACH LAYER OF THE NEURAL NETWORK
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MOST OF THE DATA PROCESSING IS CARRIED OUT IN THE HIDDEN LAYERS
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Explanation:
Detailed explanation-1: -Explanation: It can only perform pattern recognition, rest is not true for a single layer neural.
Detailed explanation-2: -Explanation: Neural networks have higher computational rates than conventional computers because a lot of the operation is done in parallel. That is not the case when the neural network is simulated on a computer. The idea behind neural nets is based on the way the human brain works.
There is 1 question to complete.