Deep Learning Image classification application- part2 ( Model Building)

Before you read this article you should also read my first article here, Because in my first article I have given you the overview of my project and the motivation to do this project, If you have already read part 1 it's time to get started. In this article part2, I will focus on the steps and processes to build an image classification model. This dataset has 3017 images of 16 different mushrooms, and they also classify those 16 mushrooms as edible and Not edible. Since I use google collab to train this model, I need to download the data set in my google drive. I use google collab because I can train my model on GPU that was provided by Google.