Hands-On Python and PyTorch: A Practical Guide to Deep Learning Master Deep Learning with Python and PyTorch Are you ready to dive into the world of deep learning and AI? Hands-On Python and PyTorch: A Practical Guide to Deep Learning is your step-by-step companion to mastering neural networks, machine learning models, and real-world AI applications with Python and PyTorch . Why This Book? Comprehensive & Hands-On - Covers everything from basic PyTorch operations to advanced deep learning techniques . ...
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Hands-On Python and PyTorch: A Practical Guide to Deep Learning Master Deep Learning with Python and PyTorch Are you ready to dive into the world of deep learning and AI? Hands-On Python and PyTorch: A Practical Guide to Deep Learning is your step-by-step companion to mastering neural networks, machine learning models, and real-world AI applications with Python and PyTorch . Why This Book? Comprehensive & Hands-On - Covers everything from basic PyTorch operations to advanced deep learning techniques . Real-World Applications - Learn to build image classifiers, NLP models, GANs, and reinforcement learning systems . AI & Deep Learning Integration - Understand how PyTorch works with TensorFlow, OpenCV, and other AI frameworks . Optimized for Python - Uses Python 3.x for efficient and scalable implementation. Beginner to Expert Guide - Suitable for students, developers, data scientists, and AI enthusiasts looking to master PyTorch and deep learning . What You'll Learn Setting up PyTorch and Python for deep learning projects Core PyTorch concepts: Tensors, Autograd, and Modules Building and training neural networks from scratch Advanced optimization techniques and model tuning Real-time applications in computer vision, NLP, and reinforcement learning Deploying AI models efficiently for production Who Should Read This Book?
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Add this copy of Hands-On Python and PyTorch: A Practical Guide to Deep to cart. $12.07, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
