Question 5/11 v4 lecture 3

Do you need to use some specific functionality to improve your model based on new data? What technique can be leveraged to great success in this context?


You do not need anything special - its basically just a transfer learning problem! Its a fine tuning situation where your pretrained model is yesterday's model and your fine tuning data is today's data.

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