enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models , and other sequence learning methods.

  3. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    That is, LSTM can learn tasks that require memories of events that happened thousands or even millions of discrete time steps earlier. Problem-specific LSTM-like topologies can be evolved. [56] LSTM works even given long delays between significant events and can handle signals that mix low and high-frequency components.

  4. Time aware long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Time_aware_long_short-term...

    Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was developed by researchers from Michigan State University, IBM Research, and Cornell University and was first presented in the Knowledge Discovery and Data Mining (KDD) conference. [1]

  5. Driving licence in India - Wikipedia

    en.wikipedia.org/wiki/Driving_licence_in_India

    Above 55 years of age, it is valid for 5 years under the Motor Vehicles (Amendment) Act, 2019. The driving licence is required to be renewed after the expiry of its validity. It previously had 20 years of validity. [7] Applications for driver's licences in India can be submitted online or in person. The website is known as the Parivahan Seva.

  6. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    An LSTM with a forget gate essentially functions as a highway network. To stabilize the variance of the layers' inputs, it is recommended to replace the residual connections x + f ( x ) {\displaystyle x+f(x)} with x / L + f ( x ) {\displaystyle x/L+f(x)} , where L {\displaystyle L} is the total number of residual layers.

  7. Connectionist temporal classification - Wikipedia

    en.wikipedia.org/wiki/Connectionist_temporal...

    Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks (RNNs) such as LSTM networks to tackle sequence problems where the timing is variable. It can be used for tasks like on-line handwriting recognition [1] or recognizing phonemes in speech audio ...

  8. Road and Transport Mission Mode Project - Wikipedia

    en.wikipedia.org/wiki/Road_and_Transport_Mission...

    Vahan, the vehicle registration software, has been implemented in 29 States/UTs. [5]Jharkhand implemented the vehicle registration software and license software prior to February 2007 in 12 districts including 18 district transport offices and four regional transport offices, helping collect of tax, register vehicles, issue driver and driving school licenses, record the fitness of vehicles ...

  9. Gated recurrent unit - Wikipedia

    en.wikipedia.org/wiki/Gated_recurrent_unit

    Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. [1] The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features, [2] but lacks a context vector or output gate, resulting in fewer parameters than LSTM. [3]