Hi, my name is Juan, and I am getting into AI, deep Learning to be more specific.
Therefore I have been taking a free course about PyTorch available on Youtube https://www.youtube.com/watch?v=Z_ikDlimN6A&t=18s and https://www.learnpytorch.io/ from Daniel Bourke.
This repository is one of the projects inside the course, where the idea is to build a Computer Vision Neural Network using the TinyVGG model class from https://poloclub.github.io/cnn-explainer/ to make predictions on three kinds of food: sushi, Steak and Pizza.
To make it more exciting and obtain more significant learning, I used my data and changed from food to rubbish, where I made predictions on takeaway coffee cups, glass bottles, and milk/juice boxes.
It is a simple neural network to test my knowledge and what I have learned. The idea is to continue and eventually publish a working web app on my portfolio https://jotadebeese.me/, including around ten classes (kind of rubbish) where other people can upload their images and obtain a prediction.
To do so, I will continue my learning journey and, in the future improve the model to make it more accurate.