Duration: 20:03

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Continuing the project of classifying if images are from the doom or animal crossing subreddit) to practice PyTorch binary classification on image data.

This is part 2 - in the last video we started with the dataset and tried to wrangle it into a PyTorch-Dataset. In this one we finish this task and even split the data into training and test set, a task that was somehow more complicated than it should have been probably.

This project is far from done, at some point I will have to start a model and do some training, hopefully I can film that at some point this week :) (comment for some motivation if you're interested in seeing that, I also want to read the Llama 2 paper, so that might arrive first on this channel)

Disclaimer: This is ASMR, it's meant for relaxation. Any education is
merely a byproduct and not the goal. If you're here by accident and you
were looking for a "real" tutorial, please move along :D

Hope you enjoy some relaxing "Code with me"-content :)

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Find me on:
Instagram: https://www.instagram.com/chromacodeasmr/
GitHub: https://github.com/ChromaCodeASMR/

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Links:

The Kaggle Dataset: https://www.kaggle.com/datasets/andrewmvd/doom-crossing

This project on GitHub: https://github.com/ChromaCodeASMR/ACDoomClassifier

My Coding video playlist: https://www.youtube.com/playlist?list=PLr559pN7sNFRb4j_56WjfHSD2ie5aLteR