Transfer learning


title: Transfer learning

What is Transfer Learning ?

Transfer learning is the re-use of the pre-trained models on a different problem. It is very popular in Deep Learning as features learnt by one model trained on a Huge dataset can be re-used for another problem which as a small dataset to train on.

Pretrained models

Some of the pretrained models that are widely used are :

  • VGG16
  • Xception
  • VGG19
  • ResNet50
  • InceptionV3
  • InceptionResNetV2
  • MobileNet
  • DenseNet
  • NASNet
  • MobileNetV2

More Information

  • Keras Pretrained Models https://keras.io/applications/
  • Pre Trained Model depot https://modeldepot.io/
  • Datacamp article https://www.datacamp.com/community/tutorials/transfer-learning

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