Practical AI on the Google Cloud Platform: Utilizing Google's State-Of-The-Art AI Cloud Services
暫譯: 在 Google Cloud Platform 上的實用 AI：利用 Google 的尖端 AI 雲端服務

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: 8.8 折 $2,323
  • 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 是一個複雜的領域，但雲端服務提供商已介入，使其變得更簡單，提供免費（或負擔得起的）最先進模型和訓練工具，幫助你入門。在這本書中，AI 新手將學習如何使用 Google 的 AI 驅動雲端服務，從分析文本、圖像和視頻到創建聊天機器人。

作者 Micheal Lanham 將逐步帶領你建立模型、訓練模型，然後擴展模型以完成越來越複雜的任務。如果你對數學和 Python 語言有良好的掌握，這本書將幫助你快速上手 Google Cloud Platform，無論你是想建立一個簡單的商業 AI 應用程序還是 AI 助手。

- 學習數據科學、機器學習和深度學習的關鍵概念
- 探索 Video AI、AutoML Tables、Cloud Inference API、Recommendations AI API 和 BigQuery ML 等工具
- 使用 CNN、遷移學習和 GAN 進行圖像識別
- 使用嵌入、RNN 和來自 Transformers 的雙向編碼器表示（BERT）構建簡單的語言處理器
- 使用 Dialogflow 建立聊天機器人
- 通過自動視頻索引、人臉檢測和 TF Hub 來分析視頻

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。在這段時間內，他開發了各種軟體應用程式，包括遊戲、圖形、網頁、桌面、工程、人工智慧、地理資訊系統 (GIS) 和機器學習應用程式，涵蓋多個行業，擔任研發開發者。他目前與家人居住在加拿大阿爾伯塔省的卡爾加里。

在千禧年之際，Micheal 開始在遊戲開發中使用神經網路和進化演算法。後來他接觸到 Unity，自此成為一名熱衷的開發者、顧問、經理以及多部 Unity 遊戲、圖形專案和書籍的作者。

Micheal 之前撰寫了《增強現實遊戲開發》、《Unity 5.x 遊戲音效開發》和《學習 ARCore：Google ARCore 基礎知識》、《Unity ML-Agents - Unity 機器學習基礎知識》以及《遊戲深度學習實作》，這些書籍均由 Packt Publishing 出版。

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