Advanced Deep Learning with Python

An introduction to Visual Geometry Group

The next architecture we're going to discuss is Visual Geometry Group (VGG) (from Oxford's Visual Geometry Group, Very Deep Convolutional Networks for Large-Scale Image Recognition, https://arxiv.org/abs/1409.1556). The VGG family of networks remains popular today and is often used as a benchmark against newer architectures. Prior to VGG (for example, LeNet-5: http://yann.lecun.com/exdb/lenet/ and AlexNet), the initial convolutional layers of a network used filters with large receptive fields, such as 11×11. Additionally, the networks usually had alternating single convolutional and pooling layers. The authors of the paper observed that a convolutional layer with a large filter size can be replaced ...