{"id":1761,"date":"2026-08-10T08:51:48","date_gmt":"2026-08-10T08:51:48","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/zerotomastery-pytorch-for-deep-learning-bootcamp-zero-to-mastery-2025-4\/"},"modified":"2026-08-10T08:51:48","modified_gmt":"2026-08-10T08:51:48","slug":"zerotomastery-pytorch-for-deep-learning-bootcamp-zero-to-mastery-2025-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/zerotomastery-pytorch-for-deep-learning-bootcamp-zero-to-mastery-2025-4\/","title":{"rendered":"ZeroToMastery \u2013 PyTorch for Deep Learning Bootcamp: Zero to Mastery 2025-4"},"content":{"rendered":"
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Description<\/span><\/h2>\n

PyTorch for Deep Learning Bootcamp course. PyTorch course for deep learning. PyTorch is a machine learning and deep learning framework written in Python. PyTorch enables you to create new algorithms and leverage the most advanced deep learning algorithms, such as neural networks, that power many of today\u2019s artificial intelligence (AI) applications. Here\u2019s what you\u2019ll learn in this PyTorch tutorial:<\/span><\/p>\n

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1. PyTorch Fundamentals \u2013 We start with the bare basics, so even if you\u2019re a beginner, you\u2019ll be up to speed.<\/span><\/p>\n

In machine learning, data is represented as a tensor (set of numbers). Learning how to build tensors with PyTorch is very important for building machine learning algorithms. In PyTorch Fundamentals we cover the PyTorch tensor data type in depth.<\/span><\/p>\n

2. PyTorch Workflow \u2013 OK, you\u2019ve got the basics down, and built some tensors to represent the data, but now what?<\/span><\/p>\n

With PyTorch Workflow you will learn the steps from Data -> Tensors -> Trained Neural Network Model. You will see and use these steps wherever you encounter PyTorch code, as well as for the rest of the course.<\/span><\/p>\n

3. PyTorch Neural Network Classification \u2013 Classification is one of the most common machine learning problems.<\/span><\/p>\n