Computer Vision with Embedded Machine Learning

Module 1: Image Classification

Discover the fundamentals of image classification, from understanding computer vision to training an image classification system using machine learning. Gain insights into deploying machine learning models to microcontrollers, and embark on hands-on projects to strengthen your skills in image classification and neural networks.

Module 2: Convolutional Neural Networks

Delve into the world of convolutional neural networks (CNNs) and their applications in computer vision. Learn about image convolution, pooling layers, and transfer learning, and get hands-on experience in training and deploying CNNs. Explore data augmentation and visualization techniques to enhance your understanding of CNNs.

Module 3: Object Detection

Uncover the intricacies of object detection, including performance metrics and different object detection models. Gain practical experience in training and deploying object detection models to single board computers, and explore advanced topics such as image segmentation and constrained object detection. Sharpen your skills through engaging hands-on projects and collaborative learning experiences.