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Building Advanced Deep Learning and NLP Projects

Introduction to Transfer Learning

Explore the concept of transfer learning and its advantage over traditional machine learning by reusing knowledge from one task to another. Understand examples in computer vision and NLP, focusing on applying transfer learning to image data using models like ResNet50. This lesson prepares you to build advanced classifiers efficiently by leveraging pre-trained networks.

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What is transfer learning?

We humans have an inherent ability to transfer our knowledge across different tasks. The knowledge that we as humans acquire while learning to perform one task is utilized while learning to solve other related tasks. The more related the tasks, the easier it is for us to transfer, or cross-utilize, our knowledge. Let’s further understand this with the help of these examples:

  • If you know how to ride a motorbike, then you can learn how to drive a car.
  • If you know math and statistics', then you can learn machine learning`.
  • If you know how to play classic piano, then you can learn how to play jazz piano.
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