ODSC22-west-A-Hands-on-Introduction-to-Transfer-Learning

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ODSC22-west-A-Hands-on-Introduction-to-Transfer-Learning

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Code for hands on TL workshop @ODSC22

ODSC22-west-A-Hands-on-Introduction-to-Transfer-Learning 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# ODSC22 West Workshop: A Hands-on Introduction to Transfer Learning
To learn a new task as we humans need not always start afresh but rather apply previous learned knowledge to perform the new task. In the same way, "transfer learning" allows a machine learning model to port the knowledge it has acquired during previous training of a task to a new task. Transfer learning has lately shown much promise and is very active area of research. In this tutorial session we will discuss the basic theory of transfer learning and few applications with hand on python coding session with tensorflow 2.0. We will briefly discuss some latest applications of transfer learning like privacy preserving ML.

Session Outline:

Module1 :Theory: What is Transfer Learning? Types of Transfer Learning, Challenges 
Module2: TL in image classification (hands-on), image to text (hands-on), style transfer 
Module3: TL in NLP: text representation, classification (hands-on) 
Module4: TL in audio - classification (hands-on), voice style transfer (hands-on) 
Module5: Advanced Application of TL
![Alt text](https://raw.githubusercontent.com/tamoghnaG/ODSC22-west-A-Hands-on-Introduction-to-Transfer-Learning/main/workshop.png)

ODSC22-west-A-Hands-on-Introduction-to-Transfer-Learning

ODSC22-west-A-Hands-on-Introduction-to-Transfer-Learning 최신버젼 다운로드

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