LinkedIn – Deep Learning with Python: Hands-On Introduction to Deep Learning Models 2025-2

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.

What you will learn

• Understand the fundamental concepts and techniques for understanding and implementing basic deep learning models.
• Hands-on experience with coding exercises to prepare for more advanced deep learning topics.
• Introduction to GitHub Codespaces as a cloud development environment.
• Learn how to build and train deep learning models in Python.
• Ability to evaluate the performance of deep learning models using various metrics.

This course is suitable for people who:

• Beginners looking to get started with deep learning and Python.
• People who want to learn about the practical applications of deep learning models.
• Those looking for a course with a practical approach and coding exercises.
• People who want to develop their skills to work with tools like GitHub Codespaces.
• Students and enthusiasts of artificial intelligence and machine learning.

Course Details Deep Learning with Python: Hands-On Introduction to Deep Learning Models

• Publisher: LinkedIn
• Instructor: Frederick Nwanganga
• Education level: Intermediate
• Training duration: 1 hour and 54 minutes

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File(s) password: www.downloadly.ir

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196 MB