Introduction to Convolutions with TensorFlow

Coursera MOOC / Non-credit USD 9.99

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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'll learn

understand how convolutions work in image processing
gain hands-on experience with TensorFlow
learn how to extract features from images
explore pooling techniques for image data

Skills you'll gain

machine learning feature extraction convolutional neural networks tensorflow image processing pooling techniques

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