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Introduction to Transfer Learning

Instructor:

Dr. Abhinanda Sarkar
4.48
average rating

Ratings

Beginner

Level

1.5 Hrs

Learning hours

2.2K+

Learners

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Skills you will learn

Transfer learning
Machine Learning

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.

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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. 

 

How Transfer Learning Works?

Introduction to Transfer Learning

4.48
average rating

Ratings

1.5 Hrs

Learning hours

Beginner

Level

2.2K+

Learners

Enroll free with email

Trusted by 10 Million+ Learners globally

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Our course instructor

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Artificial Intelligence Expert

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886.3K+ Learners
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35 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.

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