Building Advanced Deep Learning and NLP Projects/

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Rule of Thumb in Transfer Learning

Rule of Thumb in Transfer Learning

In this lesson, we will discuss some of the important points to note while using transfer learning.

We'll cover the following...

Points to consider

There might be a variety of questions in your mind such as:

  1. When do you fine-tune?
  2. How do you fine-tune?
  3. How do you decide what type of transfer learning you should perform on a new dataset?

The answer to the above questions depends on two factors: the size of the new dataset and its similarity to the original dataset on which your pre-trained model was trained. We have listed four common rules that you should keep in mind while performing transfer learning strategies. These are:

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