PyTorch for Deep Learning A Practical Introduction for Beginners

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PyTorch for Deep Learning: A Practical Introduction for Beginners
English | 2025 | ASIN : B0DX8K5BNZ | 296 Pages | EPUB | 0.3 MB
"PyTorch for Deep Learning: A Practical Introduction for Beginners" provides a clear and accessible path for anyone with basic Python knowledge to build and train their own deep learning models. You'll start with the fundamentals, learning about tensors, automatic differentiation, and neural network building blocks. The book then guides you through practical examples, including image and text classification, using convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Finally, you'll discover advanced techniques like transfer learning to leverage pre-trained models for rapid development and cutting-edge results. Throughout the book, code examples are clear, well-documented, and designed to help you build real-world applications.


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