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

VGG-19 variant is just slightly different from the VGG-16 architecture, with just addition

of 3 convolution layers, but number of parameters were same.

In VGG-16 architecture, the fully connected layers added on five convolution blocks

contributed to the majority of the millions of parameters.

0

VGG-16 model looks simple as layers are added sequentially with uniformity but it was

quite complex to train as the number of parameters were in millions.

All of the above.