Unlock the full potential of artificial intelligence with Machine Learning with PyTorch — your hands-on guide to building intelligent systems from the ground up!
Perfect for beginners and aspiring machine learning engineers, this book shows you how to build, train, and deploy powerful neural networks using PyTorch — one of the most popular and flexible deep learning libraries in the world.
Inside, you’ll learn how to:
Understand core machine learning and deep learning concepts
Build neural networks from scratch with PyTorch
Train models for real-world tasks like image classification and NLP
Use loss functions, optimizers, and activation layers effectively
Work with datasets, data loaders, and data preprocessing pipelines
Implement custom models and evaluate performance
Leverage GPU acceleration for faster training
Whether you're a student, data scientist, or software developer, this book provides a step-by-step foundation to start building AI solutions today.
Learn by doing and master PyTorch with confidence!
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Paperback. Condición: new. Paperback. Unlock the full potential of artificial intelligence with Machine Learning with PyTorch - your hands-on guide to building intelligent systems from the ground up!Perfect for beginners and aspiring machine learning engineers, this book shows you how to build, train, and deploy powerful neural networks using PyTorch - one of the most popular and flexible deep learning libraries in the world.Inside, you'll learn how to: Understand core machine learning and deep learning conceptsBuild neural networks from scratch with PyTorchTrain models for real-world tasks like image classification and NLPUse loss functions, optimizers, and activation layers effectivelyWork with datasets, data loaders, and data preprocessing pipelinesImplement custom models and evaluate performanceLeverage GPU acceleration for faster trainingWhether you're a student, data scientist, or software developer, this book provides a step-by-step foundation to start building AI solutions today.Learn by doing and master PyTorch with confidence! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798285657644
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