August 2018
Intermediate to advanced
438 pages
12h 3m
English
The VGG-16 model is a 16-layer (convolution and fully connected) network built on the ImageNet database, which is built for the purpose of image recognition and classification. This model was built by Karen Simonyan and Andrew Zisserman and is mentioned in their paper titled Very Deep Convolutional Networks for Large-Scale Image Recognition, arXiv (2014), available at https://arxiv.org/pdf/1409.1556.pdf.
I recommend all interested readers to go and read up on the excellent literature in this paper. The VGG-16 model was briefly mentioned in Chapter 3, Understanding Deep Learning Architectures, but we will discuss it in more detail and also leverage the same in our examples. The architecture of the VGG-16 model ...
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