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Chapter 5
Figure 22: An example of an extreme form of an Inception module
Xception (eXtreme Inception) is a deep convolutional neural network architecture
inspired by Inception, where Inception modules have been replaced with depthwise
separable convolutions. Xception uses multiple skip-connections in a similar way
to ResNet. The final architecture is rather complex as illustrated in Figure 23 (from
https://arxiv.org/pdf/1610.02357.pdf). Data first goes through the entry flow,
then through the middle flow, which is repeated eight times, and finally through
the exit flow:
Figure 23: The full Xception architecture
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