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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 :
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.
Then I used the pre-created python file of VGG16 and add my own code to add some new layers to do Transfer Learning.
Then I fit my dataset and start to build the model. Then I save the model.
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.