Similar Articles

Articles similar to the selected content.

Domain: karpathy.github.io Added: 2025-09-01 Status: βœ“ Success
karpathy.github.io
A Recipe for Training Neural Networks Some few weeks ago I posted a tweet on β€œthe most common neural net mistakes”, listing a few common gotchas related to training neural nets. The tweet got quite a ...
Similar Articles (10 found)
πŸ” 69.5% similar
A Refined Training Recipe for Fine-Grained Visual Classification
https://towardsdatascience.com/a-refined-training-recipe-for-fine-grained-visual-classification/
1. The problem: We needed a system that could identify specific car models, not just β€œthis is a BMW,” but which BMW model and year. And it needed to r...
πŸ” View Similar Articles
πŸ” 68.7% similar
Deep Neural Nets: 33 years ago and 33 years from now
http://karpathy.github.io/2022/03/14/lecun1989/
Deep Neural Nets: 33 years ago and 33 years from now The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is...
πŸ” View Similar Articles 🟠 HN
πŸ” 68.4% similar
The Principles of Deep Learning Theory (arxiv.org)
https://news.ycombinator.com/item?id=31051540
First, thanks to the publisher and authors for making this freely available! I retired recently after using neural networks since the 1980s. I still s...
πŸ” View Similar Articles
πŸ” 65.9% similar
Yes you should understand backprop
https://karpathy.medium.com/yes-you-should-understand-backprop-e2f06eab496b?source=rss-ac9d9a35533e------2
Yes you should understand backprop When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to ...
πŸ” View Similar Articles
πŸ” 65.9% similar
Yes you should understand backprop
https://karpathy.medium.com/yes-you-should-understand-backprop-e2f06eab496b
Yes you should understand backprop When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to ...
πŸ” View Similar Articles 🟠 HN
πŸ” 64.5% similar
https://openai.com/index/techniques-for-training-large-neural-networks/
https://openai.com/index/techniques-for-training-large-neural-networks/
Techniques for training large neural networks Large neural networks are at the core of many recent advances in AI, but training them is a difficult en...
πŸ” View Similar Articles
πŸ” 64.0% similar
Software 2.0
https://karpathy.medium.com/software-2-0-a64152b37c35?source=rss-ac9d9a35533e------2
Software 2.0 I sometimes see people refer to neural networks as just β€œanother tool in your machine learning toolbox”. They have some pros and cons, th...
πŸ” View Similar Articles
πŸ” 63.9% similar
Explaining machine learning pitfalls to managers
https://gudok.xyz/mlp/
No dataset pitfall Machine learning is not about solving some random problem that looks commercially appealing. It is all about finding a problem for ...
πŸ” View Similar Articles 🟠 HN
πŸ” 63.9% similar
The Machine Learning Lessons I’ve Learned This Month
https://towardsdatascience.com/this-months-machine-learning-lessons-learned/
Coding, waiting for results, interpreting them, returning back to coding. Plus, some intermediate presentations of one’s progress. But, things mostly ...
πŸ” View Similar Articles
πŸ” 63.2% similar
My Python code is a neural network (gabornyeki.com)
https://news.ycombinator.com/item?id=40845304
This article doesn't talk much about testing or getting training data. It seems like that part is key. For code that you think you understand, it's be...
πŸ” View Similar Articles