DL302_Deep Learning 2_24/25_T2_12.AI
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Why does VGGNet use multiple 3x3 convolutions instead of one 7x7?
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What is the total number of weight layers in VGG16?
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Which of the following networks used tanh activation functions predominantly?
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How many classes does the CIFAR-100 dataset contain?
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What is one key benefit of adapting VGGNet for CIFAR-100?
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Which CNN was the first to leverage GPU acceleration significantly?
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Which of the following is NOT a limitation of AlexNet?
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What is the input image size for the original VGGNet (ImageNet version)?
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How many convolutional layers are there in VGG16?
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What was the primary architectural innovation introduced by VGGNet?
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