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.
Some of the pretrained models that are widely used are :
- Keras Pretrained Models https://keras.io/applications/
- Pre Trained Model depot https://modeldepot.io/
- Datacamp article https://www.datacamp.com/community/tutorials/transfer-learning