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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Designing the project's architecture
This project has a slightly different architecture to a regular deep learning project deployed as an app. We will have two different sets of samples of music. The first set of samples will be used to train an LSTM model that can generate music. The other set of samples will be used as a random input to the LSTM model, which will output the generated music samples. The LSTM-based model that we'll be developing and using later will be deployed on Google Cloud Platform (GCP). You can, however, deploy it on AWS or any other hosting of your choice.
The interaction between the different components that will be used in this project have been summarized in the following diagram:
The mobile application asks the ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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