Face Recognition with one shot learning
As my knowledge, CNN needs lots of data for training the model.So we cant implement one shot learning features on CNN
I'm a newbie at deep learning. I started with face recognition example and I found that there are 2 types of model base on data for pre-trained.
1. One-shot learning with siamese network: Which we can use few data for train the model.
2. Convolutional neural network: Need numerous data for train the model.
Could we combine these methods is using one-shot learning with CNN in tensorflow?