Generative AI on Google Cloud for Application Development: Real-World Applications, Use Cases, Code Examples, and Scenarios
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0.22 kg
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Amazon
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- ### Summary: Generative AI on Google Cloud for Application Development: Real-World Applications, Use Cases, Code Examples, and Scenarios Unlock the full potential of generative AI for application development with "Generative AI on Google Cloud for Application Development: Real-World Applications, Use Cases, Code Examples, and Scenarios." This comprehensive guide provides a practical, hands-on approach to integrating advanced AI functionalities into your applications, driving innovation and efficiency. Explore how generative AI models can transform various industries by generating new content that closely resembles the data they are trained on. From creating realistic images and composing music to generating human-like text and producing synthetic data for training other models, generative AI offers endless possibilities for application development. Delve into real-world applications such as creative content generation, where artists and designers can automate the creation of graphics, music, and animations. Learn from Disney Animation Studios' success in using generative AI to expedite the production of background scenery, reducing costs while maintaining artistic quality. Discover the benefits of synthetic data generation in scenarios where data collection is challenging or restricted. Generative AI can create synthetic datasets that mimic real-world data, which is particularly beneficial in fields like healthcare, where privacy concerns limit data availability. Enhance and restore images with generative models that can remove noise, fill in missing details, or colorize black-and-white photos. These capabilities are invaluable in medical imaging, historical photo restoration, and improving the quality of low-light photographs. This book includes detailed code examples and practical scenarios to help you get started with building your own generative models. Learn how to build a Generative Adversarial Network (GAN) in TensorFlow, a powerful framework for creating and training AI models. Utilize pre-trained models for tasks such as text classification with BERT, making it easier to integrate sophisticated AI features into your applications. Whether you are a developer, data scientist, or AI enthusiast, this book provides the knowledge and tools you need to harness the power of generative AI on Google Cloud. Enhance your applications, streamline development processes, and stay ahead in the rapidly evolving field of AI with this essential resource. Unlock the future of application development with "Generative AI on Google Cloud for Application Development: Real-World Applications, Use Cases, Code Examples, and Scenarios." Your journey to mastering generative AI starts here.
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