PyTorch：以简易和灵活性构建AI模型

English | 2024 | ASIN: B0DK755MRP | 103 pages| Epub | 2 MB

Unlock the power of PyTorch, one of the most dynamic and flexible deep learning frameworks in the world of artificial intelligence. PyTorch: Building AI Models with Ease and Flexibility is a comprehensive guide that takes readers on a journey from the fundamentals of PyTorch to advanced applications in AI research and industry.Designed for AI enthusiasts, researchers, and professionals alike, this book offers a hands-on, practical approach to learning PyTorch. Starting with the basics of tensor operations and automatic differentiation, readers will quickly grasp how to build, train, and optimize deep learning models. Each chapter introduces progressively complex concepts, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced techniques like transfer learning, GANs, and reinforcement learning.Whether you're working in computer vision, natural language processing, or large-scale distributed training, this book equips you with the tools and knowledge to master PyTorch. Learn how to efficiently handle large datasets, deploy models to mobile and cloud environments, and leverage the growing PyTorch ecosystem through libraries like PyTorch Lightning

解锁PyTorch的力量，它是当今人工智能领域最具活力和灵活性的深度学习框架之一。《PyTorch：以简易与灵活性构建AI模型》是一本综合指南，带领读者从PyTorch的基础知识到在人工智能研究和产业中的高级应用之间进行探索。这本书旨在为所有类型的爱好者、研究人员以及专业人士提供动手实践的学习方法。从基本的张量操作和自动求导开始，读者将迅速掌握如何构建、训练并优化深度学习模型。每章都会引入逐步复杂的概念，包括卷积神经网络（CNN）、循环神经网络（RNN）以及诸如迁移学习、GANs 和强化学习等高级技术。无论你是在计算机视觉、自然语言处理还是大规模分布式训练中工作，这本书都能为你提供掌握PyTorch所需的工具和知识。学会如何高效地处理大型数据集，并将其部署到移动和云计算环境，同时利用像PyTorch Lightning这样的增长中的PyTorch生态系统。

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