Linking pages
- GitHub - Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding https://github.com/Avik-Jain/100-Days-Of-ML-Code 35 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- A Gentle Introduction to torch.autograd — PyTorch Tutorials 1.13.1+cu117 documentation https://pytorch.org/tutorials/beginner/blitz/autograd_tutorial.html 6 comments
- GitHub - prakhar21/50-Days-of-ML: A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects https://github.com/prakhar21/100-Days-of-ML 3 comments
- ML From Scratch, Part 3: Backpropagation - OranLooney.com http://www.oranlooney.com/post/ml-from-scratch-part-3-backpropagation/ 0 comments
- [Article.Ai] The easiest artificial neural network work tutorial you’ll probably ever find. (revised) | by God Bennett | Medium https://medium.com/@jordanmicahbennett/the-easiest-artificial-neural-network-work-tutorial-youll-probably-ever-find-a8711bd1cb07 0 comments
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