- [D] Interpretation of Regularization as Constraint Optimization https://en.wikipedia.org/wiki/Regularization_(mathematics) 2 comments machinelearning
Linking pages
- Machine Learning in Google BigQuery – Google AI Blog http://ai.googleblog.com/2018/07/machine-learning-in-google-bigquery.html 49 comments
- May Bayes Theorem Be with You | Stitch Fix Technology â Multithreaded http://technology.stitchfix.com/blog/2015/02/12/may-bayes-theorem-be-with-you/ 25 comments
- Understanding the scaling of L² regularization in the context of neural networks | by Shay Palachy | Towards Data Science https://medium.com/@shay.palachy/understanding-the-scaling-of-l%C2%B2-regularization-in-the-context-of-neural-networks-e3d25f8b50db 15 comments
- 10 New Things I Learnt from fast.ai v3 | by Raimi Karim | Towards Data Science https://towardsdatascience.com/10-new-things-i-learnt-from-fast-ai-v3-4d79c1f07e33 7 comments
- OpenAI’s new approach for one-shot imitation learning, a peek into the future of AI | by Albert James Teddy | Incogito | Medium https://medium.com/@albertjamesteddy/openais-new-approach-for-one-shot-imitation-learning-a-sneak-peak-into-the-future-of-ai-efcdddca8e2e 5 comments
- Getting Better at Machine Learning | by Robert Chang | Medium https://medium.com/@rchang/getting-better-at-machine-learning-16b4dd913a1f 5 comments
- The Three Faces of Bayes – Slackpropagation https://slackprop.wordpress.com/2016/08/28/the-three-faces-of-bayes/ 4 comments
- GitHub - shobrook/densify: Data augmentation algorithm for point clouds https://github.com/shobrook/densify 2 comments
- Transformers for Image Recognition at Scale – Google AI Blog https://ai.googleblog.com/2020/12/transformers-for-image-recognition-at.html 1 comment
- Fast CNN Tuning with AWS GPU Instances and SigOpt | AWS Machine Learning Blog https://aws.amazon.com/blogs/ai/fast-cnn-tuning-with-aws-gpu-instances-and-sigopt/ 1 comment
- Deep Style: Inferring the Unknown to Predict the Future of Fashion | Stitch Fix Technology â Multithreaded http://multithreaded.stitchfix.com/blog/2015/09/17/deep-style/ 1 comment
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- The Three Faces of Bayes – Slackpropagation https://slackprop.wordpress.com/2016/08/28/the-three-faces-of-bayes/?mkt_tok=eyJpIjoiTldZME9HVXdORFpqWW1GayIsInQiOiJRYUZSV0JRRnNJcmQ5WTQ5eEJ4bkgrQml0c2hrdnNqQzRcL05Nc1wvVElVdjVxTTc4V1MzU1Z5ZTNzdUtOeDJzZmw0OGl6ZGRqQ1ptYURiekNwTmZ4RVdzREtyVU1IK01EOXVITGRpK1ErUnVFPSJ9 0 comments
- Building a neural network from scratch in R · Tea & Stats http://selbydavid.com/2018/01/09/neural-network/ 0 comments
- From Zero to Driverless Race Car with Deep Learning https://jdlm.info/articles/2019/01/01/driverless-race-car-deep-learning.html 0 comments
- GitHub - danuker/symreg: A Symbolic Regression engine https://github.com/danuker/symreg 0 comments
- The Power of Defaults https://bastian.rieck.me/blog/posts/2020/power_of_defaults/ 0 comments
- Toward Fast and Accurate Neural Networks for Image Recognition – Google AI Blog https://ai.googleblog.com/2021/09/toward-fast-and-accurate-neural.html 0 comments
- Predicting the Generalization Gap in Deep Neural Networks – Google AI Blog https://ai.googleblog.com/2019/07/predicting-generalization-gap-in-deep.html 0 comments
- Boosting your Machine Learning Models Using XGBoost | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/boosting-your-machine-learning-models-using-xgboost-d2cabb3e948f 0 comments
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