Face Recognition Using Transfer Learning

MLops Task:

Finally, I Have Completed The Face Recognition Using Transfer Learning with VGG pre-trained model Task. This task complete under Mr. Vimal Daga Sir...

Image Recognition is trending technology in cameras and other equipment that require image processing. You can use OpenCV for it but there are also other Packages that do manipulation on it in a few lines of code. One of them is Keras. Keras is a popular deep learning framework. Not you can only build your machine learning model using Keras, but you can also use a pre-trained model that is built by the other developers. There are many Image Recognition, built-in Models, in Keras and We will use them. In this entire intuition, you will learn how to do image recognition using Keras.

1.) Create the model of VGG16 Imagenet

2.) Pretrained the model layers

3.) Trained the Images into the Pre Storage Image file

4.) Create the Layer of Images top or head of the model

5.) find the face recognition with 87% of accuracy pretrained images

6.)load the model

7.)trained & test the images using OpenCV