{"id":11255,"date":"2026-08-10T10:29:46","date_gmt":"2026-08-10T10:29:46","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-deep-learning-with-python-hands-on-introduction-to-deep-learning-models-2025-2\/"},"modified":"2026-08-10T10:29:46","modified_gmt":"2026-08-10T10:29:46","slug":"linkedin-deep-learning-with-python-hands-on-introduction-to-deep-learning-models-2025-2","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-deep-learning-with-python-hands-on-introduction-to-deep-learning-models-2025-2\/","title":{"rendered":"LinkedIn \u2013 Deep Learning with Python: Hands-On Introduction to Deep Learning Models 2025-2"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Deep Learning with Python: Hands-On Introduction to Deep Learning Models. This course provides a hands-on introduction to deep learning with Python and is suitable for beginners. Led by instructor Frederic Nwanganga, participants will learn basic concepts such as neural networks, deep learning mathematics, and model implementation. The course includes hands-on coding exercises that help them understand real-world applications. It also uses GitHub Codespaces, a cloud-based development environment, to allow for hands-on practice without the need for a local setup. Topics include neural network fundamentals, an introduction to deep learning, related mathematics, text classification, and model evaluation metrics. By the end, participants will be prepared for more advanced topics.<\/span><\/p>\n

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