5.2. Which of the following is/are true about the VGG Architectures? (1 Mark)

VGG-16 architecture accepts 224*224*3 as input image size but is designed in such a

way that it can accept any image size.

VGG-16 architecture increased the number of filters sequentially after every

convolution, leading to more parameters, which helped in capturing complex features.

VGG-19 architecture is more robust than VGG-16 architecture as it has more

parameters.

None of the above.