GreyCampus Computer Vision course is developed to help learners familiarise themselves with new applications of computer vision techniques aligned with deep learning. The course covers the techniques that focus on enhancing the ability of a machine to extract information which means converting the images to textual data involving the theory following artificial systems.
Highly interactive Instructor-led Training
Project to get your hands dirty
Teaching assistance to support your learning journey
Computer Vision is an interdisciplinary field of study. This field includes methods for collecting, processing, interpreting and understanding images, and videos automatically. It deals with enabling computers to process high level and complex digital images and videos. Its principal objective is to process pictures critically the way a human eye does for various outcomes. The course provides a more in-depth understanding of the role of Convolutional Neural networks. Further, it talks about the knowledge of transfer learning, object localization, object detection, and using TensorFlow. Finally, the course talks about segmentation.
1. 21 hours spread across 7 days of highly interactive Instructor-led Training
2. A project to provide hands-on training
3. Teaching assistance to support your learning journey
4. Learn the required skills using Jupyter Notebook web application
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The learners who are willing to take up the Computer Vision certification course must have an understanding of basic statistics, data science, and machine learning.
Computer vision is a field of artificial intelligence that deals with visual data. It aims to successfully recognize and classify objects or other cues from images and videos by training neural networks.
21 hours spread across 7 days of highly interactive Instructor-led Training
Yes, the course comes with a project for you to gain hands-on experience.