Task - 4 : Face Recognition using Transfer Learning

Task-4❗

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

Solution:

There are some software and libraries need to be pre-installed.

Opencv , Dataset , haarcascade frontal face, Anaconda , Keras ,Tensorflow and also knowledge about machine learning .

Face-Recognition model utilizing the idea of Feature Tuning.

Collecting sample Images:

Beginning of by gathering our dataset. For this, I have utilized Haarcascade FrontalFace. I have gathered 100 pictures of mine . You can utilize the accompanying code to gather the pictures and set up the dataset.

Utilizing Transfer Learning for Training model :

we need to stack the VGG16 model, If the model isn't in the neighborhood framework, It will consequently download from Github. I utilized "include_top = Flase" to expel the top layer.

We include layers according to our prerequisite :

Next, we load our dataset.

Bringing in Training Images:

Presently, we start preparing our model.

Task Completed!!!!!!!!

Github link: https://github.com/dhruv291101/mytask4

Thankful for giving your significant time. 

Thusly my task 4 has completed I need to thank mr. Vimal Daga sir