Image Data Augmentation using KERAS

You might be wondering why I started first with the need for data augmentation rather than its meaning, but that's the best way to learn anything quickly. So, let dive into Data Augmentation. Training DATA is the backbone of an entire Deep Learning project, more the data, more the features that can be extracted, and thus better the accuracy of the model. Deep Learning models are directly dependent on the amount of data, but it's not always that we have sufficient data to train our images. This problem is best solved by data augmentation.