{"id":14837,"date":"2026-08-10T11:19:39","date_gmt":"2026-08-10T11:19:39","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-deep-learning-with-pytorch-second-edition-video-edition-2026-3\/"},"modified":"2026-08-10T11:19:39","modified_gmt":"2026-08-10T11:19:39","slug":"oreilly-deep-learning-with-pytorch-second-edition-video-edition-2026-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-deep-learning-with-pytorch-second-edition-video-edition-2026-3\/","title":{"rendered":"Oreilly \u2013 Deep Learning with PyTorch, Second Edition, Video Edition 2026-3"},"content":{"rendered":"
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Description<\/h2>\n

Deep Learning with PyTorch, Second Edition, Video Edition is a course on building deep learning models using the PyTorch framework published by Oreilly Online Academy. This course is a comprehensive and practical guide to building deep learning models using the PyTorch framework. Based on the second edition of this popular resource, this video course is designed for Python developers, data scientists, AI engineers, and machine learning professionals who want to master modern deep learning techniques. PyTorch, which will be familiar to anyone familiar with PyData tools like NumPy, simplifies deep learning without sacrificing advanced features. In Deep Learning with PyTorch, Second Edition, you will learn how to build your own neural network and deep learning systems and take full advantage of PyTorch\u2019s built-in tools for automated differentiation, hardware acceleration, distributed learning, and more.<\/p>\n

Students will learn the fundamentals of neural networks, tensors, automatic differentiation, model training, optimization, convolutional neural networks (CNN), recurrent neural networks (RNN), transformers, transfer learning, and model deployment. You will discover how easy PyTorch can be to build your entire machine learning pipeline, including using the PyTorch Tensor API, loading data into Python, monitoring training, and visualizing results. Each new technique you learn is illustrated with practical code examples in each chapter, ultimately helping you build real-world convolutional neural networks, transformers, and even a medical image classifier.<\/p>\n

What you will learn in Deep Learning with PyTorch, Second Edition, Video Edition:<\/h3>\n