Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Machine Learning for Computer Vision training Certification course Machine Learning in Computer Vision Certification Programme instils a feeling of curiosity and hunger for knowledge related to the fascinating avenue of machine learning in computer-enabled vision. The current domain holds great scope for individuals possessing a budding interest in it and proves to be a coupled breakthrough in providing optimum academic learning. The course will fall as the ideal training course for startup founders, engineers and computer scientists.
The curriculum targets various application domains for the resolution of industrially significant real-life problems while concentrating on its algorithm from the human biological vision. The Machine Learning for Computer Vision training course deals with a plethora of problems and offers practicable solutions to the same by emphasising computer vision.
The faculty from IIT and various other eminent institutes discuss at length various methods of processing, acquiring, analysing, and understanding the extraction of data from the real world and digital images to produce information. Learners will find themselves acquiring appreciable knowledge of diverse sub-domains as well which are related to object recognition, motion estimation, and video tracking which candidates will be able to implement in navigation, medicine, and object modelling, amongst other things.
The Highlights
- Online lab and training sessions
- Online/Live lectures sessions by subject experts
- Follow up sessions and discussion forums
- Comprehensive tutorials and practice notes
- Certification from NIT Patna
- The programme provided by ICT Academy
Programme Offerings
- Live Lectures
- Practice notes
- Discussion Forums
- Internships
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
The fee details for the course are as follows:
- Machine Learning for Computer VisionMachine Learning in Computer Vision Certification fee of Rs. 500 for academicians or students belonging to general/OBC category and Rs. 250 for academicians or students belonging to SC/ST category.
- Industry professionals and other applicants will have to pay Rs. 1000 if they are from general/OBC category and Rs. 500 if they are from SC/ST category.
Fee Details for Machine Learning in Computer Vision Certification Programme
Fee | Fee for academicians/students | Fee for industry people/others | ||
Course Fee | Rs. 500 (for GEN/OBC) | Rs. 250 (for SC/ST) | Rs. 1000 (for GEN/OBC) | Rs. 500 (for SC/ST) |
Eligibility Criteria
Certification Qualifying Details
Candidates will get their Machine Learning for Computer Vision certification from Electronics and ICT Academy at NIT, Patna after successfully completing the entire programme and submitting all the key things required.
What you will learn
Candidates pursuing Machine Learning for Computer Vision Certification syllabus will obtain valuable insights and practical exposure to various facets of machine learning in improving vision, which would go a long way in their academic and professional life. They would learn about the following post-completion-
- The relation between image processing and computer vision
- An introduction to the concepts of machine learning and artificial intelligence
- An introduction to deep learning techniques
- Understanding of convolutional neural networks and architectures for computer vision
- Methods of motion detection and depth estimation
- The procedure of detecting objects using CNN
- Different applications of CNN
Who it is for
Machine Learning in Computer Vision Certification Programme can be pursued by the following groups of people who possess an inclination toward machine learning-
- Startup founders or entrepreneurs striving for a breakthrough in this field.
- Computer scientists conducting research in the domain.
- ML Engineers who have had a previous brush with machine learning.
Admission Details
The admissions for Machine Learning for Computer Vision classes have been closed. If they resume, candidates can follow the steps mentioned below-
Step 1: Go to the course link- http://www.nitp.ac.in/ict/machinelearning.php and select “Apply Online.”
Step 2: You will have to fill the application form with the requested details.
Step 3: Further process will be notified after you fill the form.
The Syllabus
- Image enhancement
- Structure of human eye and vision
- Main goals and challenges
- Introduction to computer vision
- Image processing goals and tasks
- Edge detection
- Color models
- Segmentation
- Segmentation
- Image enhancement
- Feature extraction using local patterns and their applications to image processing and cv: image classification
- Supervised and unsupervised learning
- Introduction to artificial intelligence and machine learning
- Applications of NN in image processing and cv
- Back propagation
- Types of NNs and limitations
- Basic differences of conventional ml and dl approaches
- Stochastics gradient method and variants, regularization, and optimization
- Feed forward neural networks (NN)
- Pooling
- Basic architecture of a convolution neural network CNN as feature extractors
- Introduction to GAN
- Motivation
- Image classification using CNN
- The convolution operation
- Image enhancement and segmentation
- Dl based depth estimation
- Optical flow
- Stereo vision
- Flow net and their versions
- R-CNN, faster r-CNN
- SSD
- Recent models for object detection
- Yolo
- Siamese network and triplet loss
- Face detection and recognition using CNN
- Recent advances
Instructors
NIT Patna Frequently Asked Questions (FAQ's)
There are 6 eminent professors who are the resource persons of this course.
No, candidates can only make the payment via net banking or offline banking. The details have been shared on the course page.
Candidates are advised to keep a check on the course page for updates regarding the same.
As a part of the curriculum, learners will get to attend practice sessions on implementations of CNN using Tensorflow, Python, and Keras.
The course is supported by the Ministry of Electronics and Information Technology, Government of India.
No, the course is entirely online and all the practical sessions will also be online.
No, they can only access the online version of the practice notes which they will receive once they get enrolled.
Learners can make use of an online discussion forum to ask doubts from the faculty which will be responded to there.