Hacker News
- The most cited neural networks all build on work done in my labs https://people.idsia.ch/~juergen/most-cited-neural-nets.html 22 comments
- How Convolutional Neural Networks Work http://brohrer.github.io/how_convolutional_neural_networks_work.html 49 comments
- Artificial intelligence nails predictions of earthquake aftershocks: A neural-network analysis outperforms the method scientists typically use to work out where these tremors will strike. https://www.nature.com/articles/d41586-018-06091-z 4 comments technology
- How Neural Networks Actually Work || Geoffrey Hinton - Google's A.I. Chief https://youtu.be/bvQlrvmD0AU?t=1s 7 comments artificial
- How Convolutional Neural Networks Work http://brohrer.github.io/how_convolutional_neural_networks_work.html 3 comments programming
- ELIMathematician: How do artificial neural networks work? https://www.reddit.com/r/math/comments/4z578u/elimathematician_how_do_artificial_neural/ 24 comments math
- A neural network crate I'm working on https://github.com/jackm321/rustnn 9 comments rust
- How does an artificial neural network work? How does it "learn", "evaluate" and "use" data accordingly? https://en.wikipedia.org/wiki/Artificial_neural_network 20 comments askscience
- AI Is a Black Box. Anthropic Figured Out a Way to Look Inside | What goes on in artificial neural networks work is largely a mystery, even to their creators. But researchers from Anthropic have caught a glimpse. https://www.wired.com/story/anthropic-black-box-ai-research-neurons-features/ 14 comments futurology
- AI Is a Black Box. Anthropic Figured Out a Way to Look Inside | What goes on in artificial neural networks work is largely a mystery, even to their creators. But researchers from Anthropic have caught a glimpse. https://www.wired.com/story/anthropic-black-box-ai-research-neurons-features/ 24 comments technology
- This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. https://www.youtube.com/watch?v=eyKwPyOqMg4 13 comments learnmachinelearning
- This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. https://www.youtube.com/watch?v=eyKwPyOqMg4 6 comments artificial
- Basic neural network Java implementation, which can train itself, for beginners to try out and learn how machine learning works. https://github.com/sebig3000/machinelearning 29 comments java
- A Neural Network in 11 lines of Python. A bare bones neural network implementation to describe the inner workings of backpropagation. http://iamtrask.github.io/2015/07/12/basic-python-network/ 202 comments programming
- IBM: "When it comes to neural networks, we don’t entirely know how they work...We're building systems we don't fully understand" http://www.theplatform.net/2015/06/25/the-real-trouble-with-cognitive-computing/ 13 comments technology
- Supervised Machine Learning: This tool "learned" about politeness by using recurrent-neural-network to read hundreds of thousands of emails. It can grade your work email for: Reading-Time, Politeness, and "Call-to-Action". http://xn--ki8h3b50a6c2a7nr7cxg.xn--vi8hiv.ws 6 comments datascience
- When I was learning machine learning for the first time, the exact manner in which convolutional neural networks worked always evaded me, largely because they were only ever explained at an introductory level in tutorials. So, I made an animated video explaining exactly how CNNs work. Hope it helps! https://www.youtube.com/watch?v=eyKwPyOqMg4 4 comments learnmachinelearning
- When I was learning machine learning for the first time, the exact manner in which convolutional neural networks worked always evaded me, largely because they were only ever explained at an introductory level in tutorials. So, I made an animated video explaining exactly how CNNs work. Hope it helps! https://www.youtube.com/watch?amp%3Bt=564s&v=eyKwPyOqMg4 9 comments artificial
- When I was learning machine learning for the first time, the exact manner in which convolutional neural networks worked always evaded me, largely because they were only ever explained at an introductory level in tutorials. So, I made an animated video explaining exactly how CNNs work. Hope it helps! https://www.youtube.com/watch?v=eyKwPyOqMg4 35 comments learnmachinelearning
- Princeton Researchers are Working on Light-Based Neural Networks that are 2000x more Powerful https://stadivm.com/threads/princeton-researchers-are-working-on-light-based-neural-networks-that-are-2000x-more-powerful.204/#post-359 3 comments artificial
- A comprehensive guide to understanding how optimizers work in training neural networks. Explains Momentum, Nesterov, Adagrad, RMSProp and Adam. https://medium.com/deep-learning-demystified/https-medium-com-deep-learning-demystified-understanding-optimizers-313b787a69fe 24 comments learnmachinelearning
- 3Blue1Brown finished his tutorial series about Neural Networks. Amazing piece of information for understanding the very basics of how it actually works. https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi 4 comments learnmachinelearning
- LiterAI - Fiction stories written by neural networks & tutorials on how to setup and train a computer to write creative works https://www.literai.com/ 6 comments artificial
- Would learning Rust & Rust concepts help a developer who works mostly on web development and sometimes neural networks? (say more than Clojure would?) https://www.reddit.com/r/rust/comments/55fgdg/would_learning_rust_rust_concepts_help_a/ 20 comments rust
- How do artificial neural networks work programming-wise? https://www.youtube.com/watch?v=_m97_kL4ox0 12 comments artificial
- Draft of essay I am writing on: "Why working memory based on a multi-model recurrent neural network system could prove that we can dissolve the frame problem by eliminating search" - feedback needed! https://www.scribd.com/doc/306139891/essay-on-frame-problem-rough-draft 4 comments artificial
- To Be Energy-Efficient, Brains Predict Their Perceptions. Results from neural networks support the idea that brains are “prediction machines” — and that they work that way to conserve energy. https://www.quantamagazine.org/to-be-energy-efficient-brains-predict-their-perceptions-20211115/ 12 comments science
- Scientists develop the next generation of reservoir computing - A form of neural network, it works between 33 and a million times faster, with significantly fewer computing resources and less data input needed. https://phys.org/news/2021-09-scientists-reservoir.html 5 comments futurology
- Electrical and computer engineers have created a physical artificial neural network -- a device modeled on how the human brain works -- that can analyze large volumes of data and identify objects at the actual speed of light. The device was created using a 3D printer. https://www.3dprintingmedia.network/3d-printed-ai-device-recognizes-objects/ 6 comments science
- The Internet and your brain are more alike than you think - a Salk Institute discovery shows that an algorithm used for the Internet is also at work in the human brain, an insight that improves our understanding of engineered and neural networks and potentially even learning disabilities. https://www.sciencedaily.com/releases/2017/02/170209133256.htm 5 comments science
- Using a mesh of nanowires as a physical neural network, researchers have made it learn and remember "on the fly," similar to how the brain's neurons work. The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks. https://phys.org/news/2023-10-nanowire-brain-network-fly.html 33 comments futurology
- Artificial neural networks can tell one artist’s work from another’s using the 3D topography of the brushstrokes, researchers have found. The technique could help to identify forgeries, or to distinguish the hands of various members of an old master’s workshop who have contributed to one painting. https://heritagesciencejournal.springeropen.com/articles/10.1186/s40494-021-00618-w 2 comments science
- To Be Energy Efficient, Brains Predict Their Perceptions - Results from neural networks support the idea that brains are “prediction machines” — and that they work that way to conserve energy. Increasing transfomers (AI models like GPT-3) size can lead to Artificial General Intelligence https://www.quantamagazine.org/to-be-energy-efficient-brains-predict-their-perceptions-20211115/ 22 comments futurology
- Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review. Hundreds of articles read, almost a year of work) accurate detection of small weeds in dense scenes, in real-time on agricultural farms https://www.mdpi.com/2072-4292/13/21/4486 3 comments science
- [R] Check the blog that introduces our recent #NeurIPS2021 work on nonconvex stochastic optimization! We propose stochastic Anderson mixing with theoretical guarantees and promising results in training neural networks. https://thumtblog.github.io/2021/10/30/stochastic-anderson-mixing/ 2 comments machinelearning
- Police to use facial recognition drones to help find the missing. The remotely-piloted aircraft system (RPAS) can see things we can't to try to work out where people are. It uses advanced cameras and neural computer networks to spot someone it is looking for - from "a speck" up to 150 metres away. https://www.bbc.com/news/uk-scotland-50262650 4 comments privacy
- A team of UCLA electrical and computer engineers has created a physical artificial neural network -- a device modeled on how the human brain works -- that can analyze large volumes of data and identify objects at the actual speed of light. The device was created using a 3D printer http://science.sciencemag.org/content/361/6406/987.2 4 comments science
- This Neural Network Can Restore Any Damaged Photo To Its Pristine Original - “Deep Image Prior takes a different approach. It works out everything from just that single original image, not needing any prior training before it can turn your crappy, corrupted image back into a high-res shot.” https://www.inverse.com/article/38929-this-neural-network-can-restore-your-damaged-images 10 comments technology
- Deep learning neural networks power self-driving cars, predictive policing, and medical diagnoses. Although the machine learning works correctly most of the time, an error can be fatal. But a new tool called DeepXplore has shown it can increase accuracy to 99%. http://www.hcanews.com/news/like-selfdriving-cars-healthcare-must-solve-its-machine-learning-problem 7 comments science
- DeepL - A new online translator running on a 5.1 petaflops supercomputer using neural networks. Works significantly better than the likes of Google Translate or Bing Translator. Supports German, English, French, Spanish, Italian, Dutch and Polish (with more in the future) https://www.deepl.com/translator 8 comments technology