How to use Transfer Learning Types and Usecases.

If you spent some time in creating machine learning models and deep learning models then you must have heard of Transfer Learning. Well the name itself tells everything. Transfer Learning is a technique where we use a pre trained model and either we only replace the end layers from the neural network with ours or we train some layers to get an optimum result with less amount of training time and resources. If you want to see how i used transfer learning you can check out this notebook (Click Here To Visit Github) where i used VGG16 pretrained model for Dog vs Cat Dataset and created a Model using two ways of transfer learning or just stick to the article as i am going to explain in much detail how transfer learning works. "Do the Smart Work Not Hard Work" For those who don't know what is VGG16 its is a convolutional neural network that is 16 layers deep which is trained on Image Net Dataset.