November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Data privacy
People are becoming more and more sensitive when it comes to their own data privacy. Collecting data through the cloud is more difficult than it's ever been. This may prevent us from being able to train the machine learning model with data that we've collected from the server side. Client-side machine learning based on TensorFlow.js is a solution to this problem. TensorFlow.js makes it possible for us to train the model without us having to send the training data outside of the client's computer. This means that our users can receive the benefits of such machine learning while keeping their data private. The following diagram shows a scenario where TensorFlow.js is useful:
The general model can be distributed from the central ...
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