Coursera
MOOC / Non-credit
0
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.
C
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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
Deep Learning
#machine learning
#feature extraction
#convolutional neural networks
#tensorflow
#image processing
#pooling techniques
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