Duration: 18:07

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Hi, it's me again... I'm brushing up on computer vision knowledge, so I found myself a fun dataset (classifying if images are from the doom or animal crossing subreddit) to practice PyTorch binary classification on image data.

This is part 1 - because it turns out writing a neural network from scratch, building a custom dataset and training everything is definitely not a one-hour-deal. In this part we look at the data, import it and even maneuvor it into a PyTorch-usable dataset.

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