# Networks and Netwars ### Networks and Netwars > Attention conservation notice : A post > of positively Holbonic length (over 2700 words), occasioned by physicists and > sociologists squabbling over the turf of studying social networks. Includes a > lengthy self-quotation and defenses of the author's friends. Plus, the title is really bad. > You must have something better to do than read this. Eszter Hargittai over at at Crooked Timber is a bit miffed about physicists working on social networks , the sp
AI and Social Science – Brendan O'Connor cognition, language, social systems; statistics, visualization, computation --> ← F-scores, Dice, and Jaccard set similarity p-values, CDF’s, NLP etc. → The $60,000 cat: deep belief networks make less sense for language than vision Posted on July 4, 2012 There was an interesting ICML paper this year about very large-scale training of deep belief networks (a.k.a. neural networks) for unsupervised concept extraction from images. They ( Quoc V. Le and colleagues
Close Menu Home » Health »Epilepsy Surgery Reveals Brain’s Secret Highways: The Role of Neural Hubs Health Epilepsy Surgery Reveals Brain’s Secret Highways: The Role of Neural Hubs By Jennifer Brown, University of Iowa Health CareDecember 12, 2023 No Comments 6 Mins Read Share Research by the University of Iowa team on epilepsy patients showed that brain hubs are crucial for normal brain processing, particularly in language. The brain displayed a rapid adaptive response following the removal of a
NeuPy is a Python library for Artificial Neural Networks. NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models
Ilya 30u30 A Folder from Cosmic The Annotated Transformer ↗ The First Law of Complexodynamics ↗ The Unreasonable Effectiveness of RNNs ↗ Understanding LSTM Networks ↗ Recurrent Neural Network Regularization ↗ Keeping Neural Networks Simple by Minimizing the Description Length of the Weights ↗ Pointer Networks ↗ ImageNet Classification with Deep CNNs ↗ Order Matters: Sequence to sequence for sets ↗ GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism ↗ Deep Resi
# A Neural Network Playground ## Um, What Is a Neural Network? It’s a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works. First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other. Next, the network is asked to solve a problem, which it attempts to do over and over, each time strengthening the connections that lead to success and diminishing those that lead to
This paper shows that under μP scaling, neural network sharpness remains stable regardless of size, enabling effective learning rate transfer across models
McCulloch and Pitts published 'A Logical Calculus of Ideas Immanent in Nervous Activity,' creating the first mathematical model of an artificial neuron....
Learn how predictive networks use a blend of technologies to optimize networks, along with their use cases, benefits and implementation challenges
## Neural Network AudioEffect Imitator idea December 18, 2011 by Johan Larsby I just want to hang this idea out here, one idea reason is for me to collect my thoughts so that it’s not in shambles, so I can go back to check out what I want. Another reason would be for someone other then me to take the idea and run with it. OK, so this is what I want: * An AU/VST plugin that can load a settings file (ie neural network) that emulates an effect (be it an old vintage distortion or something other out there