Training the model in Deep Learning is not a big deal, but changing the hyper-parameters for getting a better accuracy matters a lot which is a tedious process.

This Article Covers a great Problem Statement that how we can automate the Deep Learning so that it can achieve a High Accuracy, Less Training Time and Less Resources automatically without any human intervention. This reduces the tedious work that has to be done by the humans. 

In this article I have discussed how to use VGG-16 to train a Neural network for Covid19 Detection. I have also used Supervisely for annotating the x-ray images of covid patients. I have also used Feature Map for detecting layer by layer how the neural network is been trained.