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  3. Image Processing with Keras in Python

Exercise

Add strides to a convolutional network

The size of the strides of the convolution kernel determines whether the kernel will skip over some of the pixels as it slides along the image. This affects the size of the output because when strides are larger than one, the kernel will be centered on only some of the pixels.

Instructions

100 XP

Construct a neural network with a Conv2D layer with strided convolutions that skips every other pixel.