DeepLearning in Computer Vision
- Offered byCoursera
DeepLearning in Computer Vision at Coursera Overview
DeepLearning in Computer Vision
at Coursera
Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Data Science through real-life case studies & examples
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
DeepLearning in Computer Vision at Coursera Highlights
DeepLearning in Computer Vision
at Coursera
- Start instantly and learn at your own schedule.
- Earn a certificate of learning on course completion
- A great course for learning Data Science
- This course is offered by National Research University Higher School of Economics
Read more
DeepLearning in Computer Vision at Coursera Course details
DeepLearning in Computer Vision
at Coursera
Skills you will learn
What are the course deliverables?
- Explain and apply their knowledge of Deep Neural Networks and related machine learning methods
- Know how to use Python libraries such as PyTorch for Deep Learning applications
- Build Deep Neural Networks using PyTorch
More about this course
- Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars
- The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. We will cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and often demonstrated in movies and TV-shows example of computer vision and AI.
DeepLearning in Computer Vision at Coursera Curriculum
DeepLearning in Computer Vision
at Coursera
Tensor and Datasets
Linear Regression
Linear Regression PyTorch Way
Multiple Input Output Linear Regression
Logistic Regression for Classification
Softmax Rergresstion
Shallow Neural Networks
Deep Networks
Convolutional Neural Network
Peer Review
DeepLearning in Computer Vision at Coursera Admission Process
DeepLearning in Computer Vision
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
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3 months
Beginner
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DeepLearning in Computer Vision
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