A Siamese neural network (sometimes called a twin neural network) is an artificial neural network that uses the same weights while working in tandem on...
12 KB (1,575 words) - 00:45, 13 April 2024
the task space and facilitate problem solving. Siamese neural network is composed of two twin networks whose output is jointly trained. There is a function...
23 KB (2,486 words) - 15:45, 21 June 2024
Recurrent neural networks (RNNs) are a class of artificial neural networks for sequential data processing. Unlike feedforward neural networks, which process...
85 KB (9,881 words) - 01:19, 14 August 2024
Sentence embedding (category Artificial neural networks)
fine tuning BERT's [CLS] token embeddings through the usage of a siamese neural network architecture on the SNLI dataset. Other approaches are loosely based...
9 KB (980 words) - 14:31, 16 July 2024
and relational similarities between words. Siamese Networks: Siamese networks are a type of neural network architecture commonly used for similarity-based...
10 KB (1,180 words) - 16:01, 31 July 2024
November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate. The neural network consisted of two main blocks, an...
20 KB (1,684 words) - 23:14, 6 August 2024
Triplet loss (category Artificial neural networks)
specifying multiple negatives (multiple negatives ranking loss). Siamese neural network t-distributed stochastic neighbor embedding Learning to rank Similarity...
7 KB (927 words) - 09:46, 6 July 2024
Isabelle Guyon (section Neural networks)
the MNIST database. She is also a co-inventor of the siamese neural networks, a neural network architecture used to learn similarities, with applications...
16 KB (1,450 words) - 01:08, 24 May 2024
Artificial neuron (redirect from Activation (neural network))
model of biological neurons in a neural network. Artificial neurons are the elementary units of artificial neural networks. The artificial neuron is a function...
31 KB (3,585 words) - 08:29, 31 May 2024
Universal approximation theorem (category Artificial neural networks)
of artificial neural networks, universal approximation theorems are theorems of the following form: Given a family of neural networks, for each function...
37 KB (5,010 words) - 08:58, 30 July 2024
or Nvidia's Tensor core. These developments have greatly accelerated neural network architectures and increased the size and complexity of models that can...
28 KB (3,646 words) - 04:05, 26 July 2024
Feature learning (section Neural networks)
result in high label prediction accuracy. Examples include supervised neural networks, multilayer perceptron and (supervised) dictionary learning. In unsupervised...
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transformed, denoted by I = T ( I L ) {\displaystyle I=T(I_{L})} . A Siamese neural network works in tandem on two different input vectors to compute comparable...
25 KB (4,104 words) - 21:28, 23 May 2024
Backpropagation (category Artificial neural networks)
for training neural networks to compute the network parameter updates. It is an efficient application of the chain rule to neural networks. Backpropagation...
53 KB (7,358 words) - 19:34, 6 August 2024
Word embedding (category Artificial neural networks)
vectors of real numbers. Methods to generate this mapping include neural networks, dimensionality reduction on the word co-occurrence matrix, probabilistic...
29 KB (3,141 words) - 14:56, 31 July 2024
Anomaly detection (section Neural networks)
machines Replicator neural networks, autoencoders, variational autoencoders, long short-term memory neural networks Bayesian networks Hidden Markov models...
38 KB (4,018 words) - 00:02, 28 July 2024
Google Translate (section Neural machine translation)
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into...
123 KB (9,588 words) - 03:42, 14 August 2024
Patrik O. (2002). Non-negative sparse coding. Proc. IEEE Workshop on Neural Networks for Signal Processing. arXiv:cs/0202009. Leo Taslaman & Björn Nilsson...
68 KB (7,780 words) - 07:56, 18 July 2024
connectomics and network neuroscience, have found the small-worldness of neural networks to be associated with efficient communication. In neural networks, short...
38 KB (4,646 words) - 16:45, 15 May 2024
statistical and neural networks, on the other hand, have many advantages over the symbolic approach: both statistical and neural networks methods can focus...
54 KB (6,651 words) - 02:02, 13 August 2024
(Second ed.). SIAM. ISBN 978-0898716597. Schmidhuber, Jürgen (2015). "Deep learning in neural networks: An overview". Neural Networks. 61: 85–117. arXiv:1404...
29 KB (1,501 words) - 12:18, 5 August 2024
Frequency principle/spectral bias (category Artificial neural networks)
study of Artificial Neural Networks(ANNs), specifically deep neural networks(DNNs). It describes the tendency of deep neural networks to fit target functions...
15 KB (1,904 words) - 08:49, 27 May 2024
demonstrating the first applicability of stochastic gradient descent to neural networks. Backpropagation was first described in 1986, with stochastic gradient...
50 KB (6,585 words) - 03:30, 12 August 2024
between certain physical systems and learning systems, in particular neural networks. For example, some mathematical and numerical techniques from quantum...
85 KB (10,301 words) - 07:49, 25 June 2024
Rahul Rama Varior, Mrinal Haloi, Gang Wang, (2016) Gated Siamese Convolutional Neural Network Architecture for Human Re-identification, European Conference...
13 KB (1,196 words) - 17:38, 17 September 2023
leveraging the powerful function approximation capabilities of deep neural networks, deep BSDE addresses the computational challenges faced by traditional...
27 KB (4,081 words) - 08:32, 7 August 2024
universal approximation theorem for artificial neural networks with sigmoid activation functions. SIAM Fellow (2020), "for contributions to theory and...
5 KB (376 words) - 11:31, 27 May 2024
(2020-12-01). "High-dimensional dynamics of generalization error in neural networks". Neural Networks. 132: 428–446. doi:10.1016/j.neunet.2020.08.022. ISSN 0893-6080...
9 KB (846 words) - 21:48, 14 August 2024
Laura A. (2018-12-04). ""It's so Cute I Could Crush It!": Understanding Neural Mechanisms of Cute Aggression". Frontiers in Behavioral Neuroscience. 12:...
19 KB (2,123 words) - 07:19, 8 August 2024
using deep neural networks in nine of its highest-traffic languages, including all of its speech languages and Japanese. Neural networks provide better...
29 KB (2,220 words) - 03:22, 30 July 2024