عنوان فارسی مقاله: مسئله رندم در شبکه های عصبی
عنوان انگلیسی مقاله:
فهرست مطالب
Randomness in Neural Networks
Neural networks
Random weights
Basic premise
RW-FNN basic architecture
RW-FNN architecture cont.
RW-FNNs cont.’
Kernel approximation
Recurrent networks
Reservoir computing
Reservoir computing cont.
Echo state property
New techniques
References
بخشی از مقاله
Neural networks
Made up of many connected units, each one a non-linear classifier
Train them by adjusting weights based on error, with Backprop or other algorithms
Deep networks with many layers can produce high classification accuracy, but have very long training times
Smaller networks are quick to train, but do not form rich representations of training data
کلمات کلیدی:
Random neural network - Wikipediahttps://en.wikipedia.org/wiki/Random_neural_networkThe random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals.Measuring Symmetry, Asymmetry and Randomness in Neural Network ...journals.plos.org/plosone/article?id=10.1371/journal.pone.0100805by U Esposito - 2014 - Cited by 8 - Related articlesJul 9, 2014 - Cognitive functions are stored in the connectome, the wiring diagram of the brain, which exhibits non-random features, so-called motifs. In this ...Deep Learning: The Unreasonable Effectiveness of Randomnesshttps://medium.com/.../deep-learning-the-unreasonable-effectiveness-of-randomness-...Nov 6, 2016 - The first is the mind boggling discovery that you can train a neural network to learn to learn (i.e. meta-learning). More specifically, several ...Embrace Randomness in Machine Learning - Machine Learning ...machinelearningmastery.com/randomness-in-machine-learning/Sep 28, 2016 - Embrace Randomness in Applied Machine Learning Photo by Peter ... Such as the initial weights in an artificial neural network. Votes that end ...How does the randomness in the weight initialization affect a neural ...stackoverflow.com/.../how-does-the-randomness-in-the-weight-initialization-affect-a-...Jul 6, 2015 - Yes, for two reasons: a) many different sets (say several hundred) will give you a ... 0 down vote favorite. In general, is it worth training a network for many sets of random initial weights and pick the best result? neural-network ...Deterministic Modelling of Randomness with Recurrent Artificial ...link.springer.com/chapter/10.1007%2F11550822_41by NU Baier - 2005 - Cited by 1 - Related articlesICANN 2005: Artificial Neural Networks: Biological Inspirations – ICANN 2005 pp ... systems can be used to implicitly model the randomness of stochastic data, ...Randomness in Neural Networks: An Overview - MachineLearninghttps://www.reddit.com/r/.../5sdl15/randomness_in_neural_networks_an_overview/Log in / Register · r/MachineLearning · Randomness in Neural Networks: An Overview · u/scardax88 · researchgate.net · No Comments. 1. Best.Randomness in Generalization Ability: A Source to Improve It - Neural ...ieeexplore.ieee.org/iel4/72/10658/00501725.pdfby D Sarkar - 1996 - Cited by 46 - Related articlesconnections, feedforward artificial neural networks (FFANN's) are most popular ... identify degree of randomness in generalization ability of learning systems.Searches related to Randomness in Neural Networksrandom neural networkerol gelenbefeedback neural networkrnngoogle scholar
