APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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How many max inputs can be given to one neuron?
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2
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5
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36
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None of the above
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Explanation:
Detailed explanation-1: -In popular nets the length and height of input images are usually less than three hundred which makes the number of input features 90000 . Also you can employ max-pooling after some convolution layers, if you are using convolutional nets, to reduce the number of parameters.
Detailed explanation-2: -The connections among neurons are realized in the synapses.
Detailed explanation-3: -In this domain, it’s useful for the neural network to give outputs between 0 and 1 because an output between 0 and 1 can be interpreted, in some sense, as a probability. The reason these networks output numbers between 0 and 1 is in the layer activations of the network.
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