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FaceRecognition_Using_Transfer_Learning

Processes I followed are :

    1. At first I downloaded the haarcascade_frontalface dataset from internet using python code.Then it tooked 100 image of the face and saved it in the given path. I used this same code twice so that two different images of faces save in two different folders.
    1. Then I used the pre-created python file of mobilenet and added my own code to add some new layers to do Transfer Learning.
    1. Then I fitted my dataset and build the model. Then I saved the model.
    1. Lastly I loaded the saved model and did the prediction.

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