LinkedIn – Deep Learning with Python: Convolutional Neural Networks 2025-6

Deep Learning with Python: Convolutional Neural Networks. This course explores convolutional neural networks (CNNs) in deep learning with Python and teaches practical applications in machine vision, including image classification, object detection, and image segmentation. Throughout the course, you will learn the basic components of CNNs and, through hands-on exercises, you will learn how to design, implement, and optimize CNN models. Course instructor Fred Nwanganga will introduce you to advanced architectures such as VGG Net, ResNet, and EfficientNet, and show you how to use pre-trained models to improve accuracy and efficiency. This course is suitable for data scientists, developers, and machine learning enthusiasts who have an introductory understanding of deep learning and Python programming. The course is also integrated with GitHub Codespaces, which provides a ready-made cloud development environment and allows you to perform hands-on exercises without the need for a local setup. To learn how to use this tool, read the “Using GitHub Codespaces” section in the course.

What you will learn

• Using Convolutional Neural Networks (CNN) with Python.
• Understand the basic concepts of machine vision and its history.
• Processing and enhancing image data in Python.
• Introduction to layers and filters of convolutional neural networks (CNNs).
• Understanding pooling layers and fully connected layers.
• Reasons for the effectiveness of CNNs in machine vision.
• Preparing, defining, and training a CNN in Python for image classification.
• Familiarity with advanced CNN architectures such as VGGNet, Inception networks, ResNet, MobileNet, and EfficientNet.
• Using pre-trained models for image classification, object detection, and image segmentation tasks in Python.

This course is suitable for people who:

• Data scientists.
• Machine learning enthusiasts.
• Developers with a basic understanding of deep learning and Python coding skills.

Course details for Deep Learning with Python: Convolutional Neural Networks

• Publisher: LinkedIn
• Instructor: Frederick Nwanganga
• Education level: Intermediate
• Training duration: 1 hour and 34 minutes

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