Machine Learning Project: Food Classification Model

i made a deep learning computer vision model to classify 101 different types of food.

I used python/pytorch to do this.

i used conv2d layers, batch normalization and much more.

i also used data augmentation to make the dataset bigger and to optimize performnce.

in this zip file, you have to extract it to can access what's inside it.

the steps i did to make this model are:

1- get the dataset (food-101)

2- make a dataloader from this dataset

3- make the model

4- make a training loop

5- make a testing loop

6- change learning rate in the optimizer and change batch size till the desired accuracy is achieved