Search references for BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS. Phrases containing BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
See searches and references containing BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS!BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
Type of artificial neural network
Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output. With this form of generative deep
Bidirectional recurrent neural networks
Bidirectional_recurrent_neural_networks
Class of artificial neural network
In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where
Recurrent_neural_network
Memory unit used in neural networks
In artificial neural networks, the gated recurrent unit (GRU) is a gating mechanism used in recurrent neural networks, introduced in 2014 by Kyunghyun
Gated_recurrent_unit
Branch of machine learning
fully connected networks, deep belief networks, recurrent neural networks, recurrent Random neural networks, convolutional neural networks, generative adversarial
Deep_learning
Classification of Artificial Neural Networks (ANNs)
variable-length dependencies. Recurrent neural networks (RNN): Contains loops that allow information to persist. The network has a "hidden state" that acts
Types of artificial neural networks
Types_of_artificial_neural_networks
simulating these networks. Later, advances in hardware and the development of the backpropagation algorithm, as well as recurrent neural networks and convolutional
History of artificial neural networks
History_of_artificial_neural_networks
2017 research paper by Google
transformers, recurrent neural networks (RNNs) were widely used for sequence modelling and generation. A well-cited early example was the Elman network (1990)
Attention_Is_All_You_Need
Machine learning framework
his colleagues at Université de Montréal in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's
Generative adversarial network
Generative_adversarial_network
Algorithm for modelling sequential data
sequence positions during training more readily than those of recurrent neural networks like long short-term memory (LSTM). Later variations have been
Transformer_(deep_learning)
Statistical model of language
texts scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical
Language_model
Form of artificial neural network
A Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory
Hopfield_network
Recurrent neural network architecture
Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional
Long_short-term_memory
German computer scientist (born 1963)
paths in artificial neural networks. To overcome this problem, Schmidhuber (1991) proposed a hierarchy of recurrent neural networks (RNNs) pre-trained
Jürgen_Schmidhuber
Brainwaves, repetitive patterns of neural activity in the central nervous system
Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory
Neural_oscillation
Series of language models developed by Google AI
Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. It learns to represent
BERT_(language_model)
Bidirectional associative memory (BAM) is a type of recurrent neural network. BAM was introduced by Bart Kosko in 1988. There are two types of associative
Bidirectional associative memory
Bidirectional_associative_memory
Machine learning methods using multiple input modalities
corresponding textual descriptions. A Boltzmann machine is a type of stochastic neural network invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann machines
Multimodal_learning
Paradigm in machine learning that uses no classification labels
Hence, some early neural networks bear the name Boltzmann Machine. Paul Smolensky calls − E {\displaystyle -E\,} the Harmony. A network seeks low energy
Unsupervised_learning
Automatic conversion of spoken language into text
use neural networks for feature transformation, or dimensionality reduction. However, more recently, LSTM and related recurrent neural networks (RNNs)
Speech_recognition
Machine learning framework
train neural networks. Encog has been in active development since 2008. ADALINE Neural Network Adaptive Resonance Theory 1 (ART1) Bidirectional Associative
Encog
Connection between brain and computer
detected in the motor cortex, utilizing Hidden Markov models and recurrent neural networks. Since researchers from UCSF initiated a brain-computer interface
Brain–computer_interface
Type of recurrent dynamical network
{\displaystyle {\frac {dx}{dt}}=-\lambda x+f(Wx)} . Bidirectional networks are similar to Hopfield networks, with the special case that the matrix W {\displaystyle
Attractor_network
Recurrent Neural Networks, in Bengio, Yoshua; Schuurmans, Dale; Lafferty, John; Williams, Chris K. I.; and Culotta, Aron (eds.), Advances in Neural Information
Timeline of artificial intelligence
Timeline_of_artificial_intelligence
“banana” to the different pattern “monkey.” Bidirectional associative memories (BAM) are artificial neural networks that have long been used for performing
Autoassociative_memory
Type of neural network output and associated scoring function
classification (CTC) is a loss function and output representation used to train neural networks on sequence-labelling tasks where the input and output are not aligned
Connectionist temporal classification
Connectionist_temporal_classification
Machine learning paradigm
rather than relying on externally-provided labels. In the context of neural networks, self-supervised learning aims to leverage inherent structures or relationships
Self-supervised_learning
Approach to understanding the human brain
feedforward neural networks (i.e., Multi-Layer Perceptrons (MLPs)), (2) convolutional neural networks (CNNs), and (3) recurrent neural networks (RNNs). Recently
Network_neuroscience
Topics referred to by the same term
of itself Bidirectional associative memory, a type of recurrent neural network Hopfield network, a form of recurrent artificial neural network Transderivational
Associative_memory
Characterizes a recent neural network architecture providing advances in time series deep learning
"Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks". Advances in Neural Information Processing Systems (NeurIPS), 32, 15544-15553
State space model (deep learning)
State_space_model_(deep_learning)
Set of learning techniques in machine learning
result in high label prediction accuracy. Examples include supervised neural networks, multilayer perceptrons, and dictionary learning. In unsupervised feature
Representation_learning
Models used to produce word embeddings
used to produce word embeddings. These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Word2Vec
Word2Vec
Study of speech signals and the processing methods of these signals
Neural Networks for Acoustic Modeling in Speech Recognition" (PDF). 2019-07-23. Retrieved 2024-11-05. "SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS"
Speech_processing
Generating high-resolution video frames from given low-resolution ones
Convolutional Networks". arXiv:1902.06568v1 [cs.LG]. Huang, Yan; Wang, Wei; Wang, Liang (2018). "Video Super-Resolution via Bidirectional Recurrent Convolutional
Video_super-resolution
List of concepts in artificial intelligence
gradient-based technique for training certain types of recurrent neural networks, such as Elman networks. The algorithm was independently derived by numerous
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Software for understanding biological data
tree model. Neural networks, such as recurrent neural networks (RNN), convolutional neural networks (CNN), and Hopfield neural networks have been added
Machine_learning_in_biology
Biological process that adjusts the strength of connections between neurons in the brain
appears to be the fine-tuning of excitatory–inhibitory balance in neural networks. Timing-dependent changes at inhibitory synapses have been shown to
Spike-timing-dependent plasticity
Spike-timing-dependent_plasticity
Ability of a synapse to strengthen or weaken over time according to its activity
range of network architectures, including feedforward and recurrent neural networks. A bidirectional model, describing both LTP and LTD, of synaptic plasticity
Synaptic_plasticity
Branch of biology concerning depressive disorders in humans
depression. Diurnal mood improvement was associated with activity of dorsal neural networks. Increased mean core temperature was also observed. One hypothesis
Biology_of_depression
"Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks". Bioinformatics. 33 (5): 685–692. doi:10
List of disorder prediction software
List_of_disorder_prediction_software
Scientific study of digital information
(2014), "Network Physiology: Mapping Interactions Between Networks of Physiologic Networks", in D'Agostino, Gregorio; Scala, Antonio (eds.), Networks of Networks:
Information_theory
behavior. In modeling neural networks of the nervous system one has to consider many factors. The brain and the neural network should be considered as an
Nervous_system_network_models
Canadian engineer
approach that can possibly forecast epileptic seizures using recurrent neural networks, with minimal feature extraction. Sawan patented an invention
Mohamad_Sawan
Opinion and argument mining subtask
Early neural architectures applied to stance detection included convolutional neural networks for extracting local n-gram-like patterns and recurrent models
Stance_detection
decision process. For a Recurrent neural network, the main idea is to model the input distribution using a Recurrent neural network and optimize the parameters
Directed_information
"Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks". Bioinformatics. 33 (5): 685–692. doi:10
Molecular_recognition_feature
Hopfield net: a Recurrent neural network in which all connections are symmetric Perceptron: the simplest kind of feedforward neural network: a linear classifier
List_of_algorithms
Type of artificial intelligence model trained on Earth observation and geoscientific data
arXiv:1706.03762 [cs.CL]. Salem, Fathi M. (2022). "Recurrent Neural Networks (RNN)". Recurrent Neural Networks: From Simple to Gated Architectures. Cham: Springer
Geospatial_foundation_model
Disorder resulting in recurrent moderate–severe headaches
the Pharmacology, Biochemistry, Atmospherics, and Their Effects on Neural Networks". Cureus. 13 (4) e14243. doi:10.7759/cureus.14243. PMC 8088284. PMID 33954064
Migraine
Forming something new and somehow valuable
interaction of multiple neural networks, including those that support associative thinking, along with other default mode network functions. In 2018, some
Creativity
Proposed compulsive sexual disorder
2011.03.010. PMC 3139704. PMID 21459101. Cross-sensitization is also bidirectional, as a history of amphetamine administration facilitates sexual behavior
Sexual_addiction
Disorder of depression and mood episodes
cytokines alter "neural processes" such as neurogenesis and memory, causing neurodegeneration. Rosenblat and McIntyre (2017) propose a "bidirectional relationship
Bipolar_disorder
Soft-bodied, aquatic invertebrates
understanding neural organization including: clear unidirectional, dense-core unidirectional, clear bidirectional, and clear and dense-core bidirectional. The
Jellyfish
Primarily seen through increased inflammation, this relationship is bidirectional with depression often resulting in increased immune response and illness
Depression and immune function
Depression_and_immune_function
Upper airway closure disrupting sleep
sleep-related breathing disorder. This type of sleep apnea is characterized by recurrent episodes of complete or partial obstruction of the upper airway leading
Obstructive_sleep_apnea
Excessive internet usage that causes psychological disorders
teenagers use social networks to show their idealized image to others. However, other studies claim that people are using social networks to communicate their
Internet_addiction_disorder
Clinically applied psychology for desired behavior change
dualism and treating the person as a unit), and relational (analyzing bidirectional interactions). Cognitive therapy focuses directly on changing the thoughts
Psychotherapy
Extreme or rapid change in mood
PMID 35605083. Hyperexcitability of neurons and hypersynchrony of neural networks are the hallmarks of seizures." & "Seizures have been known to cause
Mood_swing
Disorder resulting in compulsive behaviors
determinant of vulnerability to substance use disorders. Social networks exert a bidirectional influence, while wider sociocultural factors (including public-health
Addiction
Electroacoustic device
outside from the building). In speech enhancement, for example using neural networks, finds application in hearing aids. Problems may arise if these methods
Hearing_aid
Private university in Osaka Prefecture, Japan
has been researching ways of distinguishing different odors through neural network-based AI technology using gas sensor. 2016: OIT researcher at Department
Osaka_Institute_of_Technology
Protein
biomolecular mechanisms to induce ΔFosB in the nucleus accumbens and possess bidirectional reward cross-sensitization effects that are mediated through ΔFosB.
FOSB
Effects of trauma on memory
JM (1995). Memory in the Cerebral Cortex: An Empirical Approach to Neural Networks in the Human and Nonhuman Primate. Cambridge, MA: The MIT Press. Uno
Memory_and_trauma
Mammalian protein found in Homo sapiens
the extracellular matrix (ECM) and intracellular signaling networks by mediating bidirectional communication between cells and their surrounding microenvironment
Integrin_alpha-1
Overview of the events of 2022 in science
memristive device for neuromorphic (quantum-)computers/artificial neural networks. 25 March – Genetic engineers report field test results that show CRISPR-based
January–March_2022_in_science
travel, tourism, insurance
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
Girl/Female
Hindu
Unique and different from all
Female
Turkish
Turkish name NURAY means "bright moon."
Boy/Male
Hindu
New, Rainy, Handsome, Gratified
Girl/Female
Hindu, Indian
Most Popular; Lotus; Born from Water
Boy/Male
Gaelic
People's victory.
Boy/Male
Biblical
The great man; the hero.
Male
English
Variant spelling of English Neil, NEAL means "champion."
Biblical
treasurer of Nergal
Girl/Female
Hindu, Indian
Unique; Different from All
Girl/Female
Gujarati, Hindu, Indian, Marathi
Eye
Girl/Female
Muslim/Islamic
The light e.g. nurul islam, the light of islam
Boy/Male
Hindu
Lotus flower
Boy/Male
Biblical
Treasurer of Nergal.
Boy/Male
Hindu
Cloud, Given by water
Male
Scottish
Scottish Gaelic form of Greek Nikolaos, NEACAL means "victor of the people."
Girl/Female
English
The laurel tree or sweet bay tree symbolic of honor and victory.
Boy/Male
Hindu
Without sound, Quiet, Silent
Girl/Female
Hebrew
Light.
Girl/Female
Indian
Single; Directional; Single Route; One Way
Girl/Female
Hindu
There is no ending. ne-no tal-ending, The forehead
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
BIDIRECTIONAL RECURRENT-NEURAL-NETWORKS
a.
Running back toward its origin; as, a recurrent nerve or artery.
a.
Passing from person to person, or from hand to hand; circulating through the community; generally received; common; as, a current coin; a current report; current history.
pl.
of Neuron
n.
The act of recurring, or state of being recurrent; return; resort; recourse.
a.
A flowing or passing; onward motion. Hence: A body of fluid moving continuously in a certain direction; a stream; esp., the swiftest part of it; as, a current of water or of air; that which resembles a stream in motion; as, a current of electricity.
a.
Returning from time to time; recurring; as, recurrent pains.
a.
Leaning; reclining; lying; as, the recumbent posture of the Romans at their meals. Hence, figuratively; Resting; inactive; idle.
adv.
Toward the neural side; -- opposed to haemad.
a.
General course; ordinary procedure; progressive and connected movement; as, the current of time, of events, of opinion, etc.
a.
Of or pertaining to feuds, fiefs, or feels; as, feudal rights or services; feudal tenures.
n.
Alt. of Recurrency
a.
Now passing, as time; as, the current month.
n.
Natural gifts, impulses, etc.
a.
Characterized by a current which flows outward; as, an excurrent orifice or tube.
a.
relating to the nerves or nervous system; taining to, situated in the region of, or on the side with, the neural, or cerebro-spinal, axis; -- opposed to hemal. As applied to vertebrates, neural is the same as dorsal; as applied to invertebrates it is usually the same as ventral. Cf. Hemal.
a.
Running or extending out; as, an excurrent midrib, one which projects beyond the apex of a leaf; an excurrent steam or trunk, one which continues to the top.
a.
Not current. Specifically: Not passing in common payment; not receivable at par or full value; as, uncurrent notes.
a.
Of or pertaining to the thigh or leg, or to any of the parts called crura; as, the crural arteries; crural arch; crural canal; crural ring.
a.
Characterized by a current which flows inward; as, the incurrent orifice of lamellibranch Mollusca.
n.
A person or a nation that takes no part in a contest between others; one who is neutral.
travel, tourism, insurance