Computer Vision Training Course
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.
TL;DR
Highly interactive Online Training
Project to get your hands dirty
Teaching assistance to support your learning journey
Course Overview
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.
Course Curriculum
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Introduction to Computer Vision
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CNN Architectures - ResNet, Inception, MobileNet etc
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Transfer Learning
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Object Detection - Faster-RCNN
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Object Detection Architectures - SSD, YOLO
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Semantic & Instance Segmentation
What You Get
1. 21 hours spread across 7 days of highly interactive online 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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Course Completion Certificate from GreyCampus
Boost your career. Get certified.
Prerequisites
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.
FAQ
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What is computer vision?
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.
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What is the duration of this course?
21 hours spread across 7 days of highly interactive online training.
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Does the course provide project work?
Yes, the course comes with a project for you to gain hands-on experience.