FACE RECOGNITION USING TRANSFER LEARNING

In today's AI world face recognition is becoming a great technology and everyone is using that.

Here I have used the VGG16 architecture of CNN and the pre-trained weights of imagenet Dataset.

In Transfer Learning we retain our pre-trained model but not completely, we freeze our pre-trained model after that add some more layers and then train only these layers for those new faces.

GitHub link:-

https://github.com/Atulraj-1103/face_recognition.git

Training the model

new layers are added

It will also save the model as "face_actor_VGG_TL.h5"

Now Loading the data and predicting from it

Now to check the model or to see the output give the image path.

The image data-set I have downloaded from Kaggle Dataset.

Thank You...!!!