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konstantin123 [22]
2 years ago
6

How do you change the number of classes the model can classify when using transfer learning? (i. e. the original model handled 1

000 classes, but yours handles just 2)
Social Studies
1 answer:
alexandr402 [8]2 years ago
5 0

You define your output layer and the desired number of classes when you add your DNN at the bottom of the network.

<h3>Transfer learning: What is it?</h3>
  • A pre-trained model is used as the foundation for a new model in the machine learning technique known as transfer learning.
  • Simply expressed, an optimization that enables quick progress when modeling the second task is applied to a model that was trained on the first, unrelated job.
<h3>What varieties of transfer learning are there?</h3>

There are three varieties of training transfer:

  • Training improves performance in the desired career or function, which is a positive transfer.
  • Negative Transfer: Training results in lower performance in the intended position or function.
  • Zero Transfer: Training has no effect on performance in the intended job or role, either up or down.
<h3>What is an example of transfer learning?</h3>
  • For instance, if you trained a straightforward classifier to determine whether a picture has a backpack, you might use that knowledge to recognize other things, like sunglasses.
  • With transfer learning, we essentially attempt to apply the knowledge we have gained to new situations in order to comprehend the concepts more fully.

learn more about transfer learning here

<u>https://brainly.in/question/15404224</u>

#SPJ4

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