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

Lanham, Micheal

Practical AI on the Google Cloud Platform: Utilizing Google's State-Of-The-Art AI Cloud Services
  • 出版商: O'Reilly
  • 出版日期: 2020-11-24
  • 定價: $2,640
  • 售價: 9.5 折 $2,508
  • 貴賓價: 9.0 折 $2,376
  • 語言: 英文
  • 頁數: 394
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1492075817
  • ISBN-13: 9781492075813
  • 相關分類: Google Cloud、人工智慧

    • 立即出貨 (庫存 < 3)

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商品描述

AI is complicated, but 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. In this book, AI novices will learn how to use Google's AI-powered cloud services to do everything from analyzing text, images, and video to creating a chatbot.

Author Micheal Lanham takes you step-by-step through building models, training them, and then expanding on them to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, this book will get you up and running with Google Cloud Platform, whether you're looking to build a simple business AI application or an AI assistant.

  • Learn key concepts for data science, machine learning, and deep learning
  • Explore tools like Video AI, AutoML Tables, the Cloud Inference API, the Recommendations AI API, and BigQuery ML
  • Perform image recognition using CNNs, transfer learning, and GANs
  • Build a simple language processor using embeddings, RNNs, and Bidirectional Encoder Representations from Transformers (BERT)
  • Use Dialogflow to build a chatbot
  • Analyze video with automatic video indexing, face detection, and TF Hub

商品描述(中文翻譯)

AI很複雜，但雲服務提供商已經介入，使其變得更容易，提供免費（或價格合理）的最先進模型和訓練工具，讓您可以開始使用。在這本書中，AI新手將學習如何使用Google的AI雲服務進行各種任務，從分析文本、圖像和視頻到創建聊天機器人。

作者Micheal Lanham將逐步引導您建立模型、訓練模型，然後擴展模型以完成越來越複雜的任務。如果您對數學和Python語言有很好的理解，無論您是想建立一個簡單的商業AI應用程序還是一個AI助手，本書都將幫助您快速上手Google Cloud平台。


  • 學習數據科學、機器學習和深度學習的關鍵概念

  • 探索工具，如Video AI、AutoML Tables、Cloud Inference API、Recommendations AI API和BigQuery ML

  • 使用CNN、遷移學習和GAN進行圖像識別

  • 使用嵌入、RNN和BERT（Bidirectional Encoder Representations from Transformers）構建簡單的語言處理器

  • 使用Dialogflow構建聊天機器人

  • 使用自動視頻索引、人臉檢測和TF Hub進行視頻分析

作者簡介

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.

作者簡介(中文翻譯)

Micheal Lanham是一位經驗豐富的軟體和科技創新者，擁有20年的經驗。在此期間，他開發了各種軟體應用，包括遊戲、圖形、網頁、桌面、工程、人工智慧、地理資訊系統和機器學習應用，並擔任研發開發人員，為各種行業提供服務。他目前與家人居住在加拿大亞伯達省的卡爾加里。

在千禧年之際，Micheal開始在遊戲開發中使用神經網絡和演化算法。後來他接觸到Unity，並成為一位熱衷的開發者、顧問、經理和多本Unity遊戲、圖形項目和書籍的作者。

Micheal先前出版的書籍包括《增強現實遊戲開發》、《Unity 5.x遊戲音頻開發》、《學習ARCore：Google ARCore基礎》、《Unity ML-Agents - Unity機器學習基礎》和《遊戲深度學習實踐指南》，這些書籍均由Packt Publishing出版。

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