Mastering PyTorch 2.6: Build, Train, and Deploy Neural Networks - Tapa blanda

Sinopsis

Harness the Power of PyTorch 2.6 to Build Cutting-Edge AI Models

PyTorch has become the go-to framework for deep learning, and with version 2.6, it’s more powerful and efficient than ever. Whether you're a data scientist, AI researcher, or developer, this book will guide you through mastering PyTorch’s latest features to build, train, and deploy neural networks with confidence.

This hands-on guide takes you from the fundamentals of PyTorch to advanced deep-learning techniques, covering everything from building neural networks to deploying scalable AI solutions. You'll learn how to leverage PyTorch 2.6’s latest optimizations, including compile mode, improved ONNX export, and enhanced model efficiency. Through real-world projects and step-by-step tutorials, you'll gain the skills to develop state-of-the-art AI models for computer vision, natural language processing, and more.

✅ Comprehensive Coverage – Covers the latest PyTorch 2.6 features, best practices, and deployment strategies.
✅ Hands-on Learning – Includes practical examples, real-world projects, and step-by-step code implementations.
✅ Performance Optimization – Learn how to optimize models for speed, efficiency, and scalability.
✅ Production-Ready AI – Master techniques for deploying AI models with ONNX, TorchServe, and cloud integration.
✅ Expert Insights – Authored by industry professionals with deep learning expertise.

Whether you're building your first neural network or fine-tuning advanced AI models, Mastering PyTorch 2.6 equips you with the skills to take your deep-learning projects to the next level. Grab your copy now and start building intelligent systems with PyTorch!

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