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TensorFlow for Mobile and IoT and TensorFlow.js
Open the Adv Manager (under the Tool menu) and follow the instructions for how
to create a virtual device, as the one shown in Figure 5:
Figure 5: Creating a virtual device
Pretrained models in TensorFlow Lite
In many interesting use cases, it is possible to use a pretrained model that is already
suitable for mobile computation. This is a field of active research with new proposals
coming pretty much every month. TensorFlow Lite comes with a set of prebuilt
models that are ready to use (https://www.tensorflow.org/lite/models/). As of
October 2019, these include:
• Image classification: Used to identify multiple classes of objects such as
places, plants, animals, activities, and people.
• Object detection: Used to detect multiple objects with bounding boxes.
• Pose estimation: Used to estimate poses with single or multiple people.
• Smart reply: Used to create reply suggestions for conversational chat
messages.
• Segmentations: Identifies the shape of objects together with semantic labels
for people, places, animals, and many additional classes.
• Style transfers: Used to apply artistic styles to any given image.
• Text classification: Used to assign different categories to textual content.
• Question and answer: Used to provide answers to questions provided by
users.
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