● High School Student ● TEDx and 2xTed-Ed Speaker ● I contribute to TF Hub ● I ❤ ML Research ● My coordinates - www.rishit.tech $whoami rishit_dagli Rishit-dagli
rishit_dagli ● ● You do need to ask yourself: ○ Is there enough information in P to represent Q? ○ how much new data? ○ can unlabelled data do it? ○ what’s the right mix of P and Q data? ○ How far is from P from Q? Transfer Learning rishit_dagli
rishit_dagli ● ● You do need to ask yourself: ○ Is there enough information in P to represent Q? ○ how much new data? ○ can unlabelled data do it? ○ what’s the right mix of P and Q data? ○ How far is from P from Q? ● Samory Kpotufe: Some Recent Insights on Transfer-Learning Transfer Learning rishit_dagli
rishit_dagli ● ● You do need to ask yourself: ○ Is there enough information in P to represent Q? ○ how much new data? ○ can unlabelled data do it? ○ what’s the right mix of P and Q data? ○ How far is from P from Q? ● You can do this easily with TF Hub too! Transfer Learning rishit_dagli
rishit_dagli ● Less data ● Less domain expertise ● for different domains including image, video, audio etc. ● Take advantage of SoTA machine learning models Could be super helpful rishit_dagli
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