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

De (autor): Micheal Lanham

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

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

De (autor): Micheal Lanham


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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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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