Project - Introduction to Transfer Learning (Cat vs Non-cats Project)

2 / 26

Cats vs Non-cats using Transfer Learning - Why Transfer Learning?

The Transfer Learning technique is very useful because:

  • Using a well-trained model which performs really great for task A, we can develop a model which performs elegantly for task B, though we have fewer data available for task B

  • There are fewer parameters to be trained (only last layer/layers) and thus less training time,

  • There is less demand for heavy computational resources like GPU, TPU (but still depends on the data available for task B).

enter image description here

No hints are availble for this assesment

Answer is not availble for this assesment

Loading comments...