Few Shot Learning by Siamese Networks, using Keras.
The model has been trained using tensforflow backend in Keras.
It tries to solve the problem of image verification when the quantity of data available for training Deep Learning models is less.
The model has been implemented to solve the problem based on the paper by Gregory et. al Siamese Neural Networks for One-Shot Image Recognition.
Omniglot, dataset has been used for training the model