Create a project using transfer learning solving various problems like Face Recognition, Image Classification, using existing Deep Learning models like VGG16, VGG19, ResNet, etc.

I have created this project using the weights of vgg16 model.

I have first downloaded the weights of vgg16 model from the imagenet and then freeze those layers and created one function for adding th FC layer in it

Here, I have started the data augmentation process and after that it will start the training of the model smoothly

Now for facial recognition part I have created a different python file in which it loads the model and get the images randomly from the given path and predict accordingly.

For the code, you can check the github. I have uploaded all the codes and ss their.

LinkedIN profile: https://www.linkedin.com/in/akshat-soni-011b461a6

Github: https://github.com/akshat-crypto/task4_face_rec.git




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Akshat Soni

Akshat Soni

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