Face Recognition using Transfer Learning.

In this video, we have to use a pre-trained model Vgg16 and apply on the face detection model using transfer learning. It includes all the concepts I learned about computer vision. STEP1 - Take testing and training dataset of images using a code of Open cv. STEP2 - Using Vgg16 pre-trained model to train your model. We will use the Imagenet weight and bias and add an additional Dense layer before the output layer (Transform layer) and save the model as Face_vgg.h5. STEP3 - Check the accuracy of the model. STEP4 - Write an open cv code for face detection, in which we will load our model and detect faces. Git Hub: https://lnkd.in/gzb6mgh