May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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Visual Search Using Transfer Learning
Visual search is a method of displaying similar images to one uploaded by a user to a retail website. Similar images are found by transforming an image into a feature vector using a CNN. Visual search has a lot of applications in online shopping as it compliments textual search for a better and more refined way of expressing a user's choice of product. Shoppers like visual discovery and find it something unique that is not available in a traditional shopping experience.
In this chapter, we will use the concepts of deep neural networks learned in Chapter 4, Deep Learning on Images, and Chapter 5, Neural Network Architecture and Models. We will use transfer learning to develop a neural network model for ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.