Book Image

Hands-On Machine Learning on Google Cloud Platform

By : Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier
Book Image

Hands-On Machine Learning on Google Cloud Platform

By: Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier

Overview of this book

Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
Table of Contents (18 chapters)
8
Creating ML Applications with Firebase

Video Intelligence API

The Cloud Video Intelligence API makes videos searchable and discoverable, by extracting metadata with an easy-to-use REST API. You can now search every moment of every video file in your catalog. It quickly annotates videos stored in Google Cloud storage, and helps you to identify key entities (nouns) within your videos and when they occur.

The Cloud Video Intelligence API can be searched for and enabled as follows:

We import the required packages and add the path to the api-key, as follows:

from google.cloud import videointelligence
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/content/datalab/google-api.json"
from google.cloud.speech import enums
from google.cloud.speech import types

The method features enables us to specify the type of content that we want to detect in a video. The features available are as follows:

Let...