04a1fc4fc6
* 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
27 lines
726 B
Markdown
27 lines
726 B
Markdown
---
|
|
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
|