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Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques by M. Arshad Siddiqui is a nonfiction available to read on EtoBox.
What is Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques about?
TAGLINE Unleashing the Power of Computer Vision with PyTorch 2.0 KEY FEATURES ● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices. ● Progressive learning path to ensure suitability for beginners and experts alike. ● Tackles practical tasks like optimization, transfer learning, and edge deployment. DESCRIPTION In an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges. Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on
Who reads Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- M. Arshad Siddiqui
- Publisher
- Orange Education Pvt Ltd, AVATM
- Published
- 2025
- Language
- EN
- ISBN
- 9789348107480
- Category
- nonfiction
- Subjects
- Computer Science, Programming, Stem
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