Added Transfer learning (#29462)

* 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

guide/english/machine-learning/deep-learning/transfer-learning/index.md

@@ -0,0 +1,26 @@
+---
+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 

guide/english/machine-learning/deep-learning/transfer-learning/vggnet/index.md

@@ -0,0 +1,12 @@
+---
+title: VGGnet
+---
+VGGnet are CNN models created by research group Visual Graphic Group as a winning entry to the ImageNet Large Scale Visual Recognition Competition (ILSVRC) in 2014 in the Localization category and the runner up in Image Classification category in the same competion.
+
+VGG group have released the following models:
+* 16 Layer model - [Information](https://gist.github.com/ksimonyan/211839e770f7b538e2d8#file-readme-md)
+* 19 Layer model - [Information](https://gist.github.com/ksimonyan/3785162f95cd2d5fee77#file-readme-md)
+
+### More Information
+* Visual Geometry Group website http://www.robots.ox.ac.uk/~vgg/research/very_deep/
+