APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is the filter Size used in AlexNet Architecture?
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3
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5
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7
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11
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Explanation:
Detailed explanation-1: -Convolution and Maxpooling Layers. Then we apply the first convolution layer with 96 filters of size 11X11 with stride 4. The activation function used in this layer is relu. The output feature map is 55X55X96.
Detailed explanation-2: -Furthermore, AlexNet uses 96 filters, which is not a power of 2.
Detailed explanation-3: -The required minimum input size of the model is 63x63.
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