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Chapter 13Then you need to install Android Studio from https://developer.android.com/studio/install and an appropriate distribution of Java. In my case, I selected theAndroid Studio MacOS distribution, and installed Java via brew with the followingcommand:brew tap adoptopenjdk/openjdkbrew cask install homebrew/cask-versions/adoptopenjdk8After that you can launch the sdkmanager and install the required packages. In mycase, I decided to use the internal emulator and deploy the application on a virtualdevice emulating a Google Pixel 3 XL. The required packages are reported in Figure 3:Figure 3: Required packages to use a Google Pixel 3 XL emulatorThen start Android Studio and select Open an existing Android Studio project asshown in Figure 4:Figure 4: Opening a new Android project[ 467 ]
TensorFlow for Mobile and IoT and TensorFlow.jsOpen the Adv Manager (under the Tool menu) and follow the instructions for howto create a virtual device, as the one shown in Figure 5:Figure 5: Creating a virtual devicePretrained models in TensorFlow LiteIn many interesting use cases, it is possible to use a pretrained model that is alreadysuitable for mobile computation. This is a field of active research with new proposalscoming pretty much every month. TensorFlow Lite comes with a set of prebuiltmodels that are ready to use (https://www.tensorflow.org/lite/models/). As ofOctober 2019, these include:• Image classification: Used to identify multiple classes of objects such asplaces, 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 chatmessages.• Segmentations: Identifies the shape of objects together with semantic labelsfor 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 byusers.[ 468 ]
- Page 452 and 453: Chapter 11The MuJoCo environment re
- Page 454 and 455: Chapter 11We will first import the
- Page 456 and 457: Chapter 11The αα is the learning
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- Page 460 and 461: Chapter 11else:return np.argmax(sel
- Page 462 and 463: Chapter 11DQN to play a game of Ata
- Page 464 and 465: Chapter 11self.model.add( Conv2D(64
- Page 466 and 467: Chapter 11Here the action A was sel
- Page 468 and 469: Chapter 11Image source: https://arx
- Page 470 and 471: Chapter 11A neural network is used
- Page 472: Chapter 1111. Details regarding ins
- Page 475 and 476: TensorFlow and Cloud• Scalability
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Chapter 13
Then you need to install Android Studio from https://developer.android.com/
studio/install and an appropriate distribution of Java. In my case, I selected the
Android Studio MacOS distribution, and installed Java via brew with the following
command:
brew tap adoptopenjdk/openjdk
brew cask install homebrew/cask-versions/adoptopenjdk8
After that you can launch the sdkmanager and install the required packages. In my
case, I decided to use the internal emulator and deploy the application on a virtual
device emulating a Google Pixel 3 XL. The required packages are reported in Figure 3:
Figure 3: Required packages to use a Google Pixel 3 XL emulator
Then start Android Studio and select Open an existing Android Studio project as
shown in Figure 4:
Figure 4: Opening a new Android project
[ 467 ]
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