December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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VGG16 and VGG19
VGG16 and VGG19 have been introduced in Very Deep Convolutional Networks for Large Scale Image Recognition, Karen Simonyan, Andrew Zisserman, 2014, https://arxiv.org/abs/1409.1556. The network used 3×3 convolutional layers stacked and alternated with max pooling, two 4096 fully-connected layers, followed by a softmax classifier. The 16 and 19 stand for the number of weight layers in the network (columns D and E):
An example of very deep network configurations as seen in https://arxiv.org/pdf/1409.1556.pdf
In 2015, having 16 or 19 layers was enough to consider the network deep, while today (2017) we arrive at hundreds of layers. ...
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