neural networks
also referred to as: neural network
4 statements across 3 episodes · 1 bullish · 1 bearish · 3 people on the record · first statement Aug 30, 2016 by Pedro Domingos · across every show →
Everything said about neural networks, oldest first
Aug 30, 2016 neutral
Domingos: Neural Network Opacity Often Precludes Deep Learning From Practical Deployment
“With some types of machine learning, like, for example, neural networks and deep learning, it's very opaque, right? What is learned is this big jumble of lots of parameters and all near functions, and nobody really understands what's going on. Which, in fact, …”
Aug 30, 2016 neutral
Domingos: Stock Prediction Neural Networks Decay Within Weeks as Rivals Model Them
“And what typically happens when somebody, you know, deploys a neural network to predict, you know, a certain stock, like for example, you might have 3000 networks each predicting one stock in, in, in the Russell 3000 is that it works for a few weeks and then i…”
May 16, 2023 bearish
Kelly: Bottom-up neural nets will never achieve full AI without top-down control
“That bottom up
Will take you much further than you thought you could go, but will never take you all the way to where you want to go. So Wikipedia, this classic bottom-up thing, over time, there's a more and more top-down editorial control, and eventually, ov…”
Apr 30, 2024 positive
Loehr: Handwriting alters neural networks more effectively than other cognitive methods
“What we finally concluded was that your hand Your hand writing probably had the greatest impact on neurological functioning on the way in which these neural networks formed and were changed than anything else we could do.”