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OverviewThis book is ideal for developers and students who want to build deep learning models with PyTorch, combining flexibility, control, and real-world performance. You will learn to apply modern techniques to design, train, and scale robust neural networks in real-world environments, covering everything from fundamentals to advanced architectures. Includes: - Tensor manipulation and Autograd usage - Modular neural network construction with torch.nn - Training with DataLoader, optimizers, and loss functions - Practical application with CNNs, RNNs, Transformers, and GANs - Integration with PyTorch Lightning, TorchScript, and model export - Real-world projects with NLP, computer vision, IoT, and cloud deployment By the end, you will master PyTorch as a professional tool to design scalable AI solutions with technical precision and development agility. ytorch, deep learning, neural networks, torch.nn, autograd, distributed training, cnn, rnn, transformers, deployment Full Product DetailsAuthor: Diego Rodrigues , Studiod21 Smart Tech ContentPublisher: Independently Published Imprint: Independently Published Volume: 30 Dimensions: Width: 15.20cm , Height: 1.00cm , Length: 22.90cm Weight: 0.259kg ISBN: 9798312289015Pages: 188 Publication Date: 26 February 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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