Practical AI on the Google Cloud Platform
Utilizing Google's State-of-the-Art AI Cloud Services
Published on 31. October 2020
Book
Paperback/Softback
400 pages
978-1-4920-7581-3 (ISBN)
Description
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
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
More details
Language
English
Place of publication
Sebastopol
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 233 mm
Width: 177 mm
Thickness: 25 mm
Weight
684 gr
ISBN-13
978-1-4920-7581-3 (9781492075813)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Micheal Lanham
Practical AI on the Google Cloud Platform
E-Book
10/2020
O'Reilly
€58.99
Available for download
Micheal Lanham
Practical AI on the Google Cloud Platform
E-Book
10/2020
O'Reilly
€58.99
Available for download
Person
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.
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.