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Practical AI on the Google Cloud Platform

(ebook) (audiobook) (audiobook) Książka w języku 1
Practical AI on the Google Cloud Platform Micheal Lanham - okladka książki

Practical AI on the Google Cloud Platform Micheal Lanham - okladka książki

Practical AI on the Google Cloud Platform Micheal Lanham - audiobook MP3

Practical AI on the Google Cloud Platform Micheal Lanham - audiobook CD

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Bądź pierwszym, który oceni tę książkę
Stron:
394
Dostępne formaty:
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     Mobi

Ebook (209,22 zł najniższa cena z 30 dni)

249,00 zł (-16%)
209,17 zł

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(209,22 zł najniższa cena z 30 dni)

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Do przechowalni

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

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O autorze książki

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 in areas such as games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries as an R&D developer. 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 ever since.

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