{"id":9667,"date":"2026-08-10T10:10:01","date_gmt":"2026-08-10T10:10:01","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-applied-deep-learning-neural-network-practical-ai-mastery-2024-1\/"},"modified":"2026-08-10T10:10:01","modified_gmt":"2026-08-10T10:10:01","slug":"udemy-applied-deep-learning-neural-network-practical-ai-mastery-2024-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-applied-deep-learning-neural-network-practical-ai-mastery-2024-1\/","title":{"rendered":"Udemy \u2013 Applied Deep Learning & Neural Network: Practical AI Mastery 2024-1"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Applied Deep Learning & Neural Network: Practical AI Mastery. This course provides a comprehensive, hands-on guide to deep learning and neural networks, equipping you with the essential skills to enter the field of artificial intelligence and machine learning. First, you\u2019ll learn the basics of machine learning and the basic concepts of deep learning, then you\u2019ll explore the structure of neural networks and the global approximation theorem. In the practical sections, you\u2019ll learn how to code with tools like Jupyter Notebooks, Google Colab, and the PyTorch library, and work with concepts like tensors and gradients. The course includes practical examples, such as working with the MNIST and CIFAR-10 datasets, where neural networks are implemented and evaluated. You\u2019ll also experience transfer learning and image classification using convolutional networks (CNNs). In the Natural Language Processing section, you will learn about text classification methods, text generation with transformers, and machine translation with encoder-decoder architectures. Ultimately, this course prepares you to solve real-world problems, from tabular data prediction to recommender systems, and provides a deep understanding of deep learning and its applications by combining theory and practice.<\/span><\/p>\n

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