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Advanced Deep Learning with Keras
book

Advanced Deep Learning with Keras

by Rowel Atienza, Neeraj Verma, Valerio Maggio
October 2018
Intermediate to advanced content levelIntermediate to advanced
368 pages
9h 20m
English
Packt Publishing
Content preview from Advanced Deep Learning with Keras

Densely connected convolutional networks (DenseNet)

Densely connected convolutional networks (DenseNet)

Figure 2.4.1: A 4-layer Dense block in DenseNet. The input to each layer is made of all the previous feature maps.

DenseNet attacks the problem of vanishing gradient using a different approach. Instead of using shortcut connections, all the previous feature maps will become the input of the next layer. The preceding figure, shows an example of a dense interconnection in one Dense block.

For simplicity, in this figure, we'll only show four layers. Notice that the input to layer l is the concatenation of all previous feature maps. If we designate the BN-ReLU-Conv2D as the operation H(x), then the output ...

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Publisher Resources

ISBN: 9781788629416Supplemental Content