This course explores the field of computer vision, which focuses on enabling machines to interpret and understand visual data from the world around us. The course covers topics such as image processing, feature detection, object recognition, and deep learning-based approaches to computer vision.
This module covers the basic image processing techniques such as filtering, thresholding, and segmentation. Students will learn how to extract features from images using traditional feature descriptors, such as SIFT and HOG.
This module covers the fundamental concepts of CNNs, including convolutional layers, pooling layers, and fully connected layers. Students will learn how to design and train CNNs for various computer vision tasks, such as image classification and object detection.
This module covers the state-of-the-art techniques in object detection and recognition, such as YOLO and Faster R-CNN. Students will learn how to detect and recognize objects in images and videos using these techniques.
This module covers real-world applications of computer vision, such as facial recognition, autonomous driving, and augmented reality. Students will learn how to apply computer vision techniques to solve practical problems in different domains.
Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.
Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.
Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.
Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.
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Our mission is to supercharge every engineering team with the competitive skills to innovate faster and drive more impact for the business.
