Introduction to Convolutions with TensorFlow

About this course

This is a self-paced lab that takes place in the Google Cloud console. A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it! You also explore pooling, which compresses your image and further emphasizes the features.

What you will learn

• Load and draw an image from scipy, an open source Python library used for scientific and technical computing
• Create a filter as a 3x3 array and a convolution and see the effects on the image
• Run a pooling to see how it affects the output