Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services

Micheal Lanham

ISBN 10: 1492075817 / ISBN 13: 9781492075813

Published by O'Reilly (WILEY UK) 2020-10-30, 2020

About this Item

Seller Inventory # 6666-GRD-9781492075813

Bibliographic Details

• Title: Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services
• Publisher: O'Reilly (WILEY UK) 2020-10-30
• Publication Date: 2020
• Language: English
• ISBN 10: 1492075817
• ISBN 13: 9781492075813
• Binding: Paperback
• Condition: New

About this title

Synopsis

Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.

Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.

• Learn key concepts for data science, machine learning, and deep learning
• Explore tools like Video AI and AutoML Tables
• Build a simple language processor using deep learning systems
• Perform image recognition using CNNs, transfer learning, and GANs
• Use Google's Dialogflow to create chatbots and conversational AI
• Analyze video with automatic video indexing, face detection, and TensorFlow Hub
• Build a complete working AI agent application

About the Author

Micheal Lanham is a proven software and tech innovator with 20 years of experience. During that time, he has developed a broad range of software applications. Including games, graphic, web, desktop, engineering, artificial intelligence, GIS and machine learning applications for a variety of industries as an R&D developer. He currently resides in Calgary, Alberta, Canada with his family.

At the turn of the millennium Micheal began working with neural networks and evolutionary algorithms in game development. He was later introduced to Unity and has been an avid developer, consultant, manager and author of multiple Unity games, graphic projects and books since.

Micheal has previously written Augmented Reality Game Development, Game Audio Development with Unity 5.x and Learn ARCore: Fundamentals of Google ARCore, Unity ML-Agents – Fundamentals of Unity Machine Learning and Hands-on Deep Learning for Games all published by Packt Publishing.