Machine Learning for Computer Vision
Learn to apply machine learning in the context of computer vision with the Machine Learning for Computer Vision programme.
Online
2 Weeks
500 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Machine Learning for Computer Vision training is a 2-week online certificate programme offered by PDPM IIITDM Jabalpur. The programme aims to imbue you with essential machine learning skills, especially in the context of computer vision.
The Machine Learning for Computer Vision course syllabus focuses on both theoretical and practical aspects of machine learning. During the course, you will learn concepts like supervised learning, unsupervised learning, feature extraction, image classification, deep learning, and much more.
Moreover, the Machine Learning for Computer Vision programme also features dedicated online lab and training sessions to help you develop the necessary practical expertise required in the industry. The course content will be delivered online, which you can attend from the comfort of your home.
The Machine Learning for Computer Vision certification programme also has a discussion forum wherein you can engage with your peers and talk about research problems and internships.
The Highlights
- Online/Live lectures sessions by experts.
- Comprehensive tutorials
- Extensive practice notes
- Online lab sessions
- Training sessions
- Follow up sessions
- Discussions on research problems and Internships
Programme Offerings
- Online/Live lectures sessions by experts
- comprehensive tutorials
- Extensive practice notes
- Online lab sessions
- Training sessions
- Follow up sessions
- Discussions on research problems and Internships.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIITDM Jabalpur |
Machine Learning for Computer Vision fee structure :
| Head | Amount |
| Academic (student/faculty) | Rs. 500 |
| Industry People | Rs. 1000 |
| Others | Rs. 1000 |
What you will learn
By the end of the Machine Learning for Computer Vision training, you will have in-depth knowledge about concepts like:
- Machine learning applications in computer vision
- Artificial intelligence
- Conventional approaches in computer vision
- Machine learning for medical images
- Convolutional neural networks (CNN)
- CNN architecture
- CNN for face recognition
Admission Details
Here are the steps you need to follow to enrol in the Machine Learning for Computer Vision programme:
- Head over to the course website: https://www.iiitdmj.ac.in/ict.iiitdmj.ac.in/ML-CV/
- Click on the “Registration Form” option at the top of the page
- Fill the application form and pay the course fee.
- After that, you will be enrolled in the programme
Application Details
When you click on the ‘Registration Form’ option on the Machine Learning for Computer Vision course page, you will be redirected to a Google form. The form requires you to specify your name, email ID, affiliation/institute/organisation name, designation, city/state, address, gender, mobile number, caste category, and NEFT transaction ID.
You’ll also have to upload your identity proof and proof of payment.
The Syllabus
- Digital Image and Computer Vision
- Main Goals and challenges of the CV
- Structure of Human Eye and Vision
- Colour Models
- Image Processing Goals and Tasks
Feature Extraction using local patterns and their applications to Image Processing and CV
- SIFT
- HOG
- LBP
- Natural Image Classification
- Image Enhancement
- Edge Detection
- Image Denoising
- Segmentation
- Traditional ML approaches
- AI and ML
- Supervised and Unsupervised Learning
- Machine learning applications in computer vision
- Neural Network as a learning machine
- Image segmentation
- Image classification
- Medical image Denoising
- ML for Medical Image processing
- Challenges in Medical image processing
- Classification and survival prediction
- Medical image segmentation
- Medical image retrieval
- Feedforward Neural Networks (NN)
- Basic differences between Conventional ML and DL approaches
- Stochastic gradient method and variants
- Backpropagation
- Vanishing/exploding gradient problem
- Regularisation and optimisation
- The basic architecture of a Convolution Neural Network
- The Convolution Operation
- CNNs as feature extractors
- Pooling and Batch Normalisation layers
- Image Enhancement and Segmentation
- Image classification using CNN
- CNN for Image Enhancement and Segmentation
- State of the Art CNN Architectures
- Siamese Network and Triplet Loss
- Face Detection and Recognition using CNN
Instructors
IIITDM Jabalpur Frequently Asked Questions (FAQ's)
The course is two weeks long.
Prof. Shantanu Chaudhury, Professor Barbara Zitova, Professor Hironobu Fujiyoshi, Prof. Aparajita Ojha, Dr Santosh Viparthi, and Dr Prithvijit Guha are the course speakers.
You’ll have to pay Rs. 1000 if you’re an industry professional or someone who doesn’t belong to academia. If you’re a student or a teacher, you only need to pay Rs. 500.
No, the programme is completely online.