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In the context of neural networks, what is 'transfer learning'?

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Question: In the context of neural networks, what is \'transfer learning\'?

Options:

  1. Training a model from scratch
  2. Using a pre-trained model on a new task
  3. Learning from unsupervised data
  4. Optimizing hyperparameters

Correct Answer: Using a pre-trained model on a new task

Solution: 

Transfer learning involves taking a pre-trained neural network and fine-tuning it for a different but related task.

In the context of neural networks, what is 'transfer learning'?

Practice Questions

Q1
In the context of neural networks, what is 'transfer learning'?
  1. Training a model from scratch
  2. Using a pre-trained model on a new task
  3. Learning from unsupervised data
  4. Optimizing hyperparameters

Questions & Step-by-Step Solutions

In the context of neural networks, what is 'transfer learning'?
  • Transfer Learning – Transfer learning is a technique in machine learning where a model developed for a specific task is reused as the starting point for a model on a second task.
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