{"id":9392,"date":"2026-08-10T10:06:59","date_gmt":"2026-08-10T10:06:59","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-learning-deep-learning-from-perceptron-to-large-language-models-2024-2\/"},"modified":"2026-08-10T10:06:59","modified_gmt":"2026-08-10T10:06:59","slug":"oreilly-learning-deep-learning-from-perceptron-to-large-language-models-2024-2","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-learning-deep-learning-from-perceptron-to-large-language-models-2024-2\/","title":{"rendered":"Oreilly \u2013 Learning Deep Learning: From Perceptron to Large Language Models 2024-2"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Deep Learning: From Perceptron to Large Language Models. Deep learning has become a cornerstone of recent advances in machine learning and artificial intelligence. This course provides a comprehensive guide for developers, data scientists, and analysts\u2014even those with no background in machine learning or statistics\u2014by providing fundamental concepts and practical programming techniques. You\u2019ll first learn the basic components of deep neural networks, such as artificial neurons and layers (fully connected, convolutional, and recurrent). You\u2019ll then learn how to use these concepts to design advanced architectures, such as transformers. Instructor Magnus Ekman shows how these techniques are used to build modern computer vision and natural language processing (NLP) systems. The course also covers cutting-edge topics such as large language models and multi-faceted networks.<\/span><\/p>\n

What you will learn:<\/span><\/h3>\n