PyTorch Learning

I decided to work on making it more experiencable so I added a data augmentation explorer alongside the previous linear regression visualizer thingy. Lowk ts was such a struggle because for some reason it wouldn’t deploy and i was lowk pylling my hair out but its ok guys we made it thru. I hosted it on render.com.

I turned custom data into dataloaders for training, worked on data augmentation and how that can increase the accuracy of my models by producing more datasets, I created train and test loop functions, and then trained and evaluated my baseline model which I’m now going to try and improve!

I just made this project lolol. I’m mostly following this tutorial: https://youtu.be/V_xro1bcAuA?si=u1-f8I-bVn8POAMF to learn PyTorch. So far I’ve learned basic PyTorch datasets + how to use them, built a basic linear regression model + created a linear regression visualizer for it, worked on classification + nonlinear models, learned about computer vision libraries + created model for FashionMNIST data, now im starting to work on a custom data classification model. So far, I’ve loaded in the new data! After this, I hope to make my models more experienceable (if thats a word) for reviewers!