- Function Approximation vs Function Representation https://en.wikipedia.org/wiki/Universal_approximation_theorem 4 comments math
Linking pages
- What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ 1074 comments
- Why Stephen Wolfram’s research program is a dead end – Single Lunch https://www.singlelunch.com/2020/04/23/why-stephen-wolframs-research-program-is-a-dead-end/ 130 comments
- Neural Network From Scratch https://sirupsen.com/napkin/neural-net 38 comments
- How computers got shockingly good at recognizing images | Ars Technica https://arstechnica.com/science/2018/12/how-computers-got-shockingly-good-at-recognizing-images/ 30 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
- Federated Learning https://florian.github.io/federated-learning/ 14 comments
- Audio processing in TensorFlow. An implementation of the Short Time… | by Dario Cazzani | Towards Data Science https://medium.com/towards-data-science/audio-processing-in-tensorflow-208f1a4103aa 14 comments
- Stock market prediction using Neuroph neural networks | technobium http://technobium.com/stock-market-prediction-using-neuroph-neural-networks 10 comments
- World Models (the long version) - ADG Efficiency https://adgefficiency.com/world-models/ 10 comments
- Language Modeling in the Limit - Matthew Francis-Landau https://matthewfl.com/2471/programming/ai/language-modeling-in-the-limit 8 comments
- TensorFlow howto: a universal approximator inside a neural net | by Morgan | metaflow-ai https://blog.metaflow.fr/tensorflow-howto-a-universal-approximator-inside-a-neural-net-bb034430b71e#.wexd3ebsm 7 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
- The Magic Behind Neural Networks https://gradiently.io/the-magic-behind-neural-networks/ 6 comments
- Deep Learning Made Simple [Part 1] https://blog.vivekpanyam.com/deep-learning-made-simple-part-1/ 4 comments
- Deep Learning Tutorial: Perceptrons to Machine Learning Algorithms | Toptal https://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks 4 comments
- A generative model for music track playlists | by Brett Vintch | iHeartRadio Tech https://tech.iheart.com/a-generative-model-for-track-playlists-4dba8b8515c 1 comment
- ZEN-RRNN - On Meditation & Machines | by samim | Medium https://medium.com/@samim/zen-rrnn-on-meditation-machines-bbeb92aa62d3 1 comment
- A Future History of Biomedical Progress | Markov Bio https://markov.bio/biomedical-progress/ 0 comments
- How to Grid Search Hyperparameters for Deep Learning Models in Python with Keras http://machinelearningmastery.com/grid-search-hyperparameters-deep-learning-models-python-keras/ 0 comments
- From Analytical to Numerical to Universal Solutions | Ethan Rosenthal http://blog.ethanrosenthal.com/2017/03/20/analytical-numerical-universal/ 0 comments
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