PyTorch Melanoma Classifier 6: Finishing Touches

Hi everyone! This tutorial series is about how to make a Python machine learning model that can classify images of melanomas and benign moles, using PyTorch.
All the code from my videos is available on my Github (however the image dataset is too large to put there, so you’ll need to download separately):
github.com/mikesaint-antoine/...
Here’s the link to the Kaggle image dataset:
www.kaggle.com/datasets/hasna...
Here’s a great StatQuest video that explains how convolutional neural networks work:
• Neural Networks Part 8...
Here’s a link to Sentdex’s Neural Networks from Scratch book, which I recommend to better understand what PyTorch is doing behind the scenes:
nnfs.io/
Thanks for watching and let me know if you have any questions!

[@MikeSaintAntoine]

Hi everyone, thanks for watching! Here's the link to the code on my Github in case you want to try it for yourself (also feel free to add me as a friend on Github if you want 🙂) : github.com/mikesaint-antoine/Comp_Bio_Tutorials/tree/main/melanoma_image_classifier

[@user-ci1om1xc5d]

This was a great series! I'm a biochemist trying to learn bioinformatics/machine learning so tutorials like these are very helpful - thank you Mike

[@MikeSaintAntoine]

Thanks Joshua! Let me know if you have any questions 🙂