H13-311_V3.5 · Question #355
What of the following does belong to convolutional neural network (CNN)? (Multiple Choice)
The correct answer is A. VGGNet B. ResNet C. AlexNet D. GoogleNet. All four options are correct because VGGNet, ResNet, AlexNet, and GoogleNet are landmark CNN architectures that form the backbone of modern computer vision. AlexNet (2012) kicked off the deep learning era by winning ImageNet with stacked convolutional and pooling layers. VGGNet…
Question
What of the following does belong to convolutional neural network (CNN)? (Multiple Choice)
Options
- AVGGNet
- BResNet
- CAlexNet
- DGoogleNet
How the community answered
(49 responses)- A100% (49)
Explanation
All four options are correct because VGGNet, ResNet, AlexNet, and GoogleNet are landmark CNN architectures that form the backbone of modern computer vision. AlexNet (2012) kicked off the deep learning era by winning ImageNet with stacked convolutional and pooling layers. VGGNet deepened the idea using uniform 3×3 convolution filters across many layers. GoogleNet (Inception) introduced parallel convolution branches (Inception modules) to capture multi-scale features efficiently. ResNet added residual (skip) connections to enable training of extremely deep networks without vanishing gradients - but all four are fundamentally built on the conv → pool → fully-connected CNN blueprint.
There are no wrong choices here; the question is a trap for students who might assume that architectural innovations (skip connections in ResNet, Inception modules in GoogleNet) mean those models are not CNNs - they are still CNNs, just with clever modifications layered on top.
Memory tip: Use the acronym VRAG (VGGNet, ResNet, AlexNet, GoogleNet) - all are "CNN Hall of Famers" from the 2012–2015 ImageNet era. If a model is famous for image classification and predates Transformers, it's almost certainly a CNN.
Topics
Community Discussion
No community discussion yet for this question.