October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Google Cloud ML
If you want to run your model in the cloud, the Google Cloud ML Engine offers the power and flexibility of TensorFlow, scikit-learn, and XGBoost in the cloud. If this is not suitable, you can pick the API services that best fit your scenario.
In Google Cloud ML, multiple APIs are available. These are classified into four major categories, as follows:
- SIGHT: The Cloud Vision API helps with image recognition and classification; the Cloud Video Intelligence API helps with scene-level video annotation; and AutoML Vision helps with custom image classification models.
- CONVERSATION: Dialogflow Enterprise Edition helps to build conversational interfaces; the Cloud Text-to-Speech API converts text to speech; and the Cloud Speech-to-Text ...
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