ML Classifier

This simple classifier is an example of a supervised learning model. This means that it learns from a set of labeled images in order to make predictions on new unlabeled images.

The objective of this tutorial is to build a simple image classifier that pulls a rank number of 1, 2, or 3 from a hand sign in a photo. Every step will be covered, including creation of the set of images for learning.

Handsigns for 1, 2, and 3.

All of the code used for this project will be maintained in the file, handsign-class.jl. This is a Julia language file.

https://web.stanford.edu/class/cs224u/2021/

https://colab.research.google.com/github/deepmind/educational/blob/master/colabs/summer_schools/intro_to_regression.ipynb

https://juliaimages.org/stable/install/

https://datasciencejuliahackers.com/image-classification.html

https://towardsdatascience.com/a-primer-on-computer-vision-with-julia-2c7068a35b32

https://www.kaggle.com/competitions/street-view-getting-started-with-julia/overview/julia-tutorial

https://openai.com/dall-e-2/