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DeepLearning in Computer Vision 

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DeepLearning in Computer Vision
 at 
Coursera 
Overview

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

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

DeepLearning in Computer Vision
 at 
Coursera 
Highlights

  • 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
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DeepLearning in Computer Vision
 at 
Coursera 
Course details

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.
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DeepLearning in Computer Vision
 at 
Coursera 
Curriculum

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

    Important Dates

    May 25, 2024
    Course Commencement Date

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    DeepLearning in Computer Vision
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