April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Netflix
Netflix's recommendation system is one of the biggest success stories of using DL on mobile applications. Netflix utilizes a number of algorithms to understand users' preferences and comes up with a list of recommendations they might be interested in. All content is tagged with labels that provide an initial set of data from which the algorithms can learn. Further, the system monitors over 100 million user profiles to analyze what people watch, what they might watch later, what they have watched before, what they watched a year ago, and so on. All of the data collected is brought together to learn the kind of content a user might be interested in.
The data collected using the tags and user behavior is then brought together and fed ...
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