*FULL GUIDE* Transfer Learning From 0 to Hero in 15 min
Transfer Learning & Fine Tuning Theory + Programming Explanation. This video explains transfer learning and fine tuning theory. It talks about the difference between them and offers a couple examples of how they can be applied to your machine learning problems in Python and Keras.
Transfer Learning is the process of applying knowledge gained from one task, to another.
The theory behind Transfer Learning is that you can learn how to do something more quickly if you've done it before. This video will explain the basics of transfer learning and what it means for computer vision applications, with an example in code!
If you enjoyed this video, I would be excited to connect on Twitter or LinkedIn.
Twitter: / datawithsandro
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Intro: 0:00
Transfer Learning & Fine Tuning: 1:29
Programming Transfer Learning & Fine Tuning: 2:47
Result Comparison and Tips: 9:50
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