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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.
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 ...
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English: Structure of a LSTM (Long Short-term Memory) cell. Orange boxes are activation functions (like sigmoid and tanh), yellow circles are pointwise operations. A linear transformation is used when two arrows merge. When one arrow splits, this is a copy operation.
The Ministry of Road Transport and Highways (MoRTH) is a ministry of the Government of India, that is the apex body for formulation and administration of the rules, regulations and laws relating to road transport, transport research and in also to increase the mobility and efficiency of the road transport system in India.
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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]
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