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* Added Transfer learning * Added VGGnet * Rename guide/english/machine-learning/deep-learning/transfer-learning/VGGnet.md to guide/english/machine-learning/deep-learning/transfer-learning/vggnet/index.md
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| 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