Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Deep Learning for Visual Computing course’s aim is to educate the student about the stratified recognition task. This is a free course that covers topics including visual computing, ResNet, PyTorch, Python, GoogleNet, and more.
Swayam Deep Learning for Visual Computing is an appropriate option for people who want to become deep learning scientists, get into research, computer vision engineer, AI research scientist, etc. Join this course to make a career as a software engineer, deep learning engineer, IT artificial intelligence intern, research scientist, computer scientist, etc.
The course type is ongoing and the length for this course is 12 weeks. There are no strict fee charges to enrol or study the Deep Learning for Visual Computing course, but for the certificate, the student needs to register and appear in an examination conducted in person at a chosen center. Regular assessments and one-on-one doubt clearing sessions are held by IIT-affiliated teachers.
The Highlights
- Free Course, except exam fee
- References and Books available
- Superior employability with certification
- Skilled instructors to teach students.
- A soft copy of the certificate will be provided.
- The certificate will have attested logo of NPTEL and IIT Kharagpur
Programme Offerings
- regular assessments
- One-on-one Doubt Clearance
- Project-Based Learning
- active technical support
- Audio-video Pedagogy
- IIT-affiliated Teachers
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Kharagpur |
To get a certification, the aspirant will have to pay the fees and sit in an examination. In order to be eligible for appearing in this Deep Learning & Visual Computing course, the candidate can use either of the below mentioned payment methods -
- Debit cards
- Credit cards
- Net banking
For General candidates | Rs. 1,000 |
Eligibility Criteria
This particular course can be easily understood if you have basic knowledge of digital image processing alongside machine learning. Having a B.Tech in Computer Science or Communication Engineering degree can actually serve as a good advantage before enrolling into the course on Swayam.
Qualifying Details to get the certificate
To obtain the e-certificate in the Deep Learning for Visual Computing course, the candidate necessitates achieving a 25 percent score calculated from the best 8 assignments out of 12 total assignments that you will have to complete. To pass the exam, students should get 75 percent average marks.
What you will learn
Once they have completed this course, the candidate will become skilled and would know how the process of visual computing works and how to help a machine identify objects in an image, which is also known as a strategic recognition task. Concepts that would be cleared after this course is completed, are:
- Visual computing
- Neural networks
- Stratified recognition
- Ladder training
- Adversarial learning
- google net
- ResNet
- DenseNet
- Models with adversarial learning
- Neural network for video classification
- Style transfer
- Object segmentation
- Object detection
- Image classification with localization
- Image classification
- Colorization
- Coding practice
- Python
- PyTorch
Who it is for
This certification course of Deep Learning for Visual Computing is most suitable for postgraduates who know about digital image processing and machine learning. Students who will get extra gains after enrolling in this course are –
- Electrical engineers
- Software engineers
- Communication engineers
Admission Details
This course is available to study for free on the SWAYAM platform. Only the certification requires an examination fee.
Application Details
The process of getting registered and trained at Swayam is free of cost but to obtain their certificates in the given course, the learner shall have to pay the fees and get registered for a certification exam.
The method to register and sign up for the offline certification exam in Swayam is very simple and trouble-free. Here are some steps which the candidate would need to obey to be eligible for appearance in the examination–
Step 1: Applicant is first supposed to log in and then type the compulsory details, for example, the vital information about his university, his address particulars, uploading a picture, and his signature.
Step 2: Pick the learning course as per your preference
Step 3: Choose details related to your state, city for the center, course, and the exam date.
Step 4: The students are required to give 3 minimum substitutes for the exam centers.
Step 5: No exam can be conducted in the city if less than 10 students have opted for it.
Step 6: After the previous step, you can move on to the Add to cart option. A preview cart will help you in viewing your entered details.
Step 7: Authenticate all the details before progressing to the counter page.
Step 8: On the preview page you can edit or alter your details. After correcting all the details, you can go on the “Preview and Checkout” button.
Step 9: Fee payment takes place in the next step.
Step 10: Choose the desired online payment method and pay the fee as mentioned.
Step 11: To obtain the payment receipt, the student can move on to the Course detail tab.
Step 12: The entry ticket will be mailed to the student. The candidate should the site check 2 weeks before exams for further updates.
The Syllabus
- Introduction to Visual Computing and Neural Networks
- Multilayer Perceptron to Deep Neural Networks with Autoencoders
- Autoencoders for Representation Learning and MLP Initialization
- Stacked, Sparse, Denoising Autoencoders and Ladder Training
- Cost functions, Learning Rate Dynamics and Optimization
- Introduction to Convolutional Neural Networks (CNN) and LeNet
- Convolutional Autoencoders and Deep CNN (AlexNet, VGGNet)
- Very Deep CNN for Classification (GoogLeNet, ResNet, DenseNet)
- Computational Complexity and Transfer Learning of a Network
- Object Localization (RCNN) and Semantic Segmentation
- Generative Models with Adversarial Learning
- Generative Models with Adversarial Learning
Evaluation process
The student is essentially required to appear in the examination. To attain the certification by fair means, the learner is required to get a 25% average score for the best 8 assignments out of 12 and a 75% average score in exams. If in any case, the candidate fails to match up to the initial two important criteria, he won’t be eligible to collect the certification.
Instructors
IIT Kharagpur Frequently Asked Questions (FAQ's)
Swayam provides the best books and references for the course, deep learning for visual computing. Some of the recommended books are Neural Networks and Learning Machines, and Deep Learning.
Swayam provides its students with the best possible learning experience to its students. This way the students can aim to set goals without confronting any burden. Certification courses prove to give raise to a student’s resume so that he can apply for superior jobs.
The learner will have to enter his details in an online form and pay a fee of Rs. 1000 through their preferred payment options.
To teach the course, Deep Learning for Visual Computing, an instructor who graduated from IIT Kharagpur will be provided.
It is necessary that the candidate scores 25% of the average assignment score in at least 8 out of 12 assignments and an average score of 75% in the certification exam.
It will have your photograph, name, and the number you scored in your final examination.
Maximum 4 certification exams in different courses can be given.
You can connect with concerned authorities using Swayam’s toll-free helpline number at 18001219025 or drop a mail at the below-mentioned email address- support@Swayam.gov.in
You shall be provided with a digital certificate that you will receive via email. Furthermore, you can log on to the NPTEL website to access a copy of the same after the results are announced.