Why use a pretrained model (framework and parameters) for your CNN? in other words, What is transfer learning?

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Why use a pretrained model (framework and parameters) for your CNN? in other words, What is transfer learning?

37:25-40:03
Why use a pretrained model (framework and parameters) for your CNN? in other words, What is transfer learning?
* the model resnet34 will be automatically downloaded if not already so
* what exactly is downloaded
* pretrained model with weights trained with ImageNet dataset
* why a pretrained model is useful?
* such model can recognize 1000 categories
* not the 37 cats and dogs,
* but know quit a lot about cats and dogs
* what is transfer learning?
* take a model which already can do something very well (1000 objects)
* make it do your thing well (37 cats dogs species)
* also need thousands times less data to train your model
目录 Lesson 1 知识点分解 #63