- Shape of the terminator on Earth (transition between light and dark or vice-versa) https://en.wikipedia.org/wiki/Sigmoid_function 6 comments space
Linking pages
- A Neural Network in 11 lines of Python (Part 1) - i am trask https://iamtrask.github.io/2015/07/12/basic-python-network/ 320 comments
- Design Of This Website · Gwern.net https://www.gwern.net/Design 254 comments
- Google's First Tensor Processing Unit - Architecture https://thechipletter.substack.com/p/googles-first-tpu-architecture 187 comments
- Machine Learning for Beginners: An Introduction to Neural Networks - victorzhou.com https://victorzhou.com/blog/intro-to-neural-networks/ 109 comments
- Night Sight: Seeing in the Dark on Pixel Phones – Google AI Blog https://ai.googleblog.com/2018/11/night-sight-seeing-in-dark-on-pixel.html 85 comments
- The Scaling Hypothesis · Gwern.net https://www.gwern.net/Scaling-hypothesis 65 comments
- Logistic Regression from scratch - Philipp Muens https://philippmuens.com/logistic-regression-from-scratch/ 61 comments
- Exploring LSTMs http://blog.echen.me/2017/05/30/exploring-lstms/ 59 comments
- An in-depth look at Google’s first Tensor Processing Unit (TPU) | Google Cloud Blog https://cloud.google.com/blog/big-data/2017/05/an-in-depth-look-at-googles-first-tensor-processing-unit-tpu 57 comments
- Swift.org - Swift Numerics https://swift.org/blog/numerics/ 44 comments
- Deep Learning 101 http://markus.com/deep-learning-101/ 44 comments
- GitHub - trekhleb/nano-neuron: 🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn" https://github.com/trekhleb/nano-neuron 42 comments
- GitHub - losttech/Gradient: This repository serves as a public issue tracker and documentation host for Gradient, full TensorFlow binding for .NET https://github.com/losttech/Gradient/#getting-started 40 comments
- articles/a_too_naive_approach_to_video_compression_using_artificial_neural_networks.md at master · Dobiasd/articles · GitHub https://github.com/Dobiasd/articles/blob/master/a_too_naive_approach_to_video_compression_using_artificial_neural_networks.md 36 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
- GitHub - kdexd/digit-classifier: A single handwritten digit classifier, using the MNIST dataset. Pure Numpy. https://github.com/karandesai-96/digit-classifier 28 comments
- GitHub - trentsartain/Neural-Network: This is a configurable Neural Network written in C#. The Network functionality is completely decoupled from the UI and can be ported to any project. You can also export and import fully trained networks and datasets. https://github.com/trentsartain/neural-network 28 comments
- CEO of America - Socratic Owl http://www.countingcalculi.com/features/does_presidential_experience_matters/ 27 comments
- An Introduction to Recurrent Neural Networks for Beginners - victorzhou.com https://victorzhou.com/blog/intro-to-rnns/ 25 comments
- GitHub - ConnorBrereton/SiteReliabilityEngineering: Notes on Site Reliability Engineering. Leave a 🌟 if you found this useful! https://github.com/ConnorBrereton/SiteReliabilityEngineering 18 comments
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