Practical Transfer Learning ( Deep Learning )in Python
- Basic Understanding of Python
- Basic Understanding of Machine Learning Terms
- Some Idea on CNN models
Don't be Hero . as It is well said..
Let;s Enroll and utilize works of Hero for our problems.
Everyone can not do research like Yann Lecun or Andrew Ng. They are focused on improving machine learning algorithms for better world.
But as an individual and for industry, we are more concern with specific application and its accuracy.
Transfer Learning is the solution for many existing problems. Transfer learning uses existing knowledge of previously learned model to new frontier.
I will demonstrate code to do Transfer Learning in Image Classification.
Knowledge gain to recognize cycle and bike can be used to recognize car.
There are various ways we can achieve transfer learning. I will discuss Pre trained model, Fine tunning and feature extraction techniques.
Once again. Let's not be Hero . and enroll in this course.
Who this course is for:
- Deep Learning Enthusiastic
- Anyone who want to jump start Machine Learning
- Introduction and Course Outline03:17
- Do you want to be poet?07:14
- Becoming Poet Part 109:20
- Becoming Poet Part 213:03
- Becoming Poet Part 303:39
- Three main motivation for Transfer Learning04:59
- Success of Transfer Learning - Andrew Ng03:37
- Transfer Learning vs Traditional ML and Deep Learning04:48
- Transfer Learning vs Traditional ML and Deep Learning 204:25
Expert in Machine Learning and Deep Learning.
Certification from Coursera and Udemy on ML and Deep Learning.
Counselor to Undergraduate students.
Engineer with more than 14 Years of Experience.
Likes to discuss and work on social issues -like Internet Addiction, Education System and Religious talks.
I have written two books on C# and .NET. I have conducted more than 50 sessions on various aspects on Computer Science.