Build an Image Retrieval System with NMF and More
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Learn to build an image retrieval system using Non-negative Matrix Factorization (NMF) and other advanced techniques. Apply these methods to enhance search engines, content recommendation systems, and computer vision applications.
At a Glance
How would you create an image retrieval system to find similar images? Non-Negative Matrix Factorization would be the right tool to use. It is an unsupervised learning technique used for decomposing data. Non-Negative Matrix Factorization will be a useful and powerful tool since factorized matrices can be interpreted as real images. Check out this guided project to find out what NMF is, how it works and how to apply it to solve real life business problems.
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