TRANSFER LEARNING

Facial recognition is a way of recognizing a human face through technology. A Facial Recognition System  compares the information with a database of known faces to find a match. It has all kinds of Commercial Applications and  can be used for everything from surveillance to marketing. Machine Learning works behind these face recognition systems. Convolution Neural Networks-CNN is the technique to do image classification and image recognition. It is designed to process the data by multiple layers of arrays. In Machine Learning we have to collect the data and then feed this data to the machine learning model so that the model learns from the provided data. We have two challenges : 1.In CNN world it requires huge data a nd we don't get so many images. 2.Training our model with huge data consumes lots of time,CPU,RAM etc. Once we complete training our model with that huge data then we need not train our complete model again that takes lot of time and resources with Transfer Learn...