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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
book

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

by Anubhav Singh, Rimjhim Bhadani
April 2020
Intermediate to advanced
380 pages
9h 24m
English
Packt Publishing
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Using an SDK/tools to build a model

We covered the preparation for using a pre-existing service-based deep learning model for the task at hand, to predict the species of plant present in a picture. We will be training an image classifier model on samples from five different species of flowers. The model will then try to determine the species to which any image of a flower might belong. However, such models are usually trained on a generally available dataset, and would not have the specificity that might be required at times—for example, in a scientific laboratory. Hence, you must learn how to build your own models for predicting the plant species.

This can be achieved either by training a model completely from scratch or, alternatively, ...

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Publisher Resources

ISBN: 9781789611212