Transfer Learning With MobileNetV2

In this notebook we will be learning how to use Transfer Learning to create the powerful convolutional neural network with a very little effort, with the help of MobileNetV2 developed by Google that has been trained on large dataset of images. We will be using the pretrained model to train our dataset on the MobileNetV2 model. Note: When performing transfer learning we must always change the last layer of the pre-trained model so that it has the same number of classes that we have in the dataset we are working with. Check my Kaggle Notebook Link where you will get the understanding of Tranfer learning with the help of MobileNetV2.