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Rather than implementing your own Machine Learning model, It's better to use Transfer Learning on Powerful pre-created models.

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Transfer_Learning_on_VGG16-MLOps_Training

Face Recognition using CNN :

Video Demonstration : https://youtu.be/eISIy1pDEFU

It's a task given by Mr. Vimal Daga Sir. In this task I perform Transfer Learning using VGG16 pre-trained weights.

Processes I followed are :

    1. At first I collect the raw images from internet. Then I rename them and also change there format to jpg. Next I classify them and store them in respective folders. This is how I build the dataset.
    1. Then I used the pre-created python file of VGG16 and add my own code to add some new layers to do Transfer Learning.
    1. Then I fit my dataset and start to build the model. Then I save the model.
    1. Lastly I load the saved model and do the prediction.
Thank you so much Vimal Sir, for teaching these kinds of methods in CNN.

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Rather than implementing your own Machine Learning model, It's better to use Transfer Learning on Powerful pre-created models.

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