Xception

Introduced by Chollet in Xception: Deep Learning With Depthwise Separable Convolutions

Xception is a convolutional neural network architecture that relies solely on depthwise separable convolution layers.

Source: Xception: Deep Learning With Depthwise Separable Convolutions

Read Paper See Code

Paper	Code	Results	Date	Stars

This feature is experimental; we are continuously improving our matching algorithm.

Component	Type	Add Remove
1x1 Convolution	Convolutions
Convolution	Convolutions
Dense Connections	Feedforward Networks
Depthwise Separable Convolution	Convolutions
Global Average Pooling	Pooling Operations
Max Pooling	Pooling Operations
ReLU	Activation Functions
Residual Connection	Skip Connections
Softmax	Output Functions