Free Course on Transfer Learning for AI Models
Introduction to Transfer Learning
4.48
Beginner level
1.5 learning hrs
Instructor:
Dr. Abhinanda Sarkar
About this course
Transfer learning is a very popular form of learning today. It aims to use a p[re-trained model to work on an entirely different dataset to see if meaningful results can be extracted when the machine learning algorithm is exposed to new data. Transfer learning is extremely popular because of the efficiency that is portrayed by the domain when working on really large datasets. In this course, you will learn all of the foundational concepts that are necessary for you to get started with and understand the working of transfer learning.
Course outline
Introduction to Transfer Learning
This chapter, to begin with, explains the HDF format and then discusses the formation of convolution layers and fully connected neural layers.
Get access to the complete curriculum once you enroll in the course
4.48
United States
“Pace of the lecture presented by the instructors”
This course was presented in a good pace. It was easy to follow.
Singapore
“The lessons are instructive and easy to follow”
Even without prior knowledge and experience in this area, I can still follow the lessons.
“Great Learning Experience, easy to follow.”
I really enjoyed this Introduction to Transfer Learning course and thought it was exceptionally well-designed. The instructors did a great job of starting from the very fundamentals of Transfer Learning and gradually building up my understanding. The lessons progressed in a logical, step-by-step manner that made it easy to follow along and apply what I was learning.
“I have learned about the basic knowledge of transfer learning.”
The video content is superb. It includes all the details for beginner-level researchers. I am currently conducting research on transfer learning, and I think this video is very helpful for me.
India
“Introduction to Transfer Learning”
Introduction to Transfer Learning is nicely structured and informative course
Asad Freelancer
“As my previous skills there was good skills to improve”
I like the one thing which is how to improve the skills and learnt that how get concentrate with the instructor.
India
“Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and problem-solve like humans. ”
Transfer learning generally improves the performance of the second task by leveraging the knowledge gained from the first task. By using a pre-trained model, especially in deep learning, the model has already learned useful features and representations from a large dataset. When applied to a second, related task, it can accelerate learning and lead to better optimization even if the second task has limited data.
Singapore
“Feedback on this particular course module”
Feedback on this particular course module is interesting.
“Introduction to Transfer Learning course very important. I am easily under the course. Thanks very much Great Learning committee.”
Introduction to Transfer Learning course very important. Thanks a lot Great learning.
India
“Really gave an in depth entry to the world of Data Transfer”
I really apprieciated all aspects of the course from the slides to the techniques involved.
Our course instructor
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
Artificial Intelligence Expert
1.1M+ Learners
36 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE).
He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India.
He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.
Recommended Free Machine Learning courses
FREE
FREE
.jpg "Course thumbnail image")
FREE
FREE
FREE
