Xception: Deep Learning with Depth-wise Separable Convolutions

Xception is a deep convolutional neural network architecture that involves Depthwise Separable Convolutions. This network was introduced Francois Chollet who works at Google, Inc. (Fun-Fact: He is the creator of keras).

Xception is also known as “extreme” version of an Inception module. Hence, let us look at the Inception module before delving into Xception.

Inception Network

An inception network is a deep neural network (DNN) with a design that consists of repeating modules referred to as incep...