Visualizing How Convolution Neural Networks “See”

ByEric Muccino

Visualizing How Convolution Neural Networks “See”

Convolution Neural Networks (CNN) learns image regognition the way human visual system does. It scans images by using filters which recognizes a unique feature. A little deeper layers identify low level features such as curves and edges, while the deeper layers idtentifies high level features such as eyes or windows. We use Keras library to visualize what CNN are learning to look when making a certain classfication.

Read the rest of the article at Mindboard’s Medium channel.

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Eric Muccino administrator