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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Creating a custom TensorFlow Lite model for image recognition
Once you have had a fair go at Colaboratory, we're all set up to build the custom TensorFlow Lite model for the task of recognizing plant species. To do so, we will begin with a new Colaboratory notebook and perform the following steps:
- Import the necessary modules for the project. Firstly, we import TensorFlow and NumPy. NumPy will be useful for handling the image arrays, and TensorFlow will be used to build the CNN. The code to import the modules can be seen in the following snippet:
!pip install tf-nightly-gpu-2.0-previewimport tensorflow as tfimport numpy as npimport os
Notice the !pip install <package-name> command used on the first line. This is used to install packages ...
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