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This act sets limits on the minimum age for vehicle operation ranging from 16 to 20, depending on specific circumstances. [1] A modern photo of the driving licence can also serve many of the purposes of an identity card in non-driving contexts, such as proof of identity (e.g. when opening a bank account) or age (e.g. when applying for a mobile ...
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 ...
https://parivahan.gov.in The Regional Transport Office or District Transport Office or Regional Transport Authority ( RTO/DTO/RTA ) is an office administered by the State Governments constituted under Section 213 (1) of the Motor Vehicles Act, 1988 of India and is responsible for implementing the various provisions of this Act.
This led to the long short-term memory (LSTM), a type of recurrent neural network. The name LSTM was introduced in a tech report (1995) leading to the most cited LSTM publication (1997), co-authored by Hochreiter and Schmidhuber. [19] It was not yet the standard LSTM architecture which is used in almost all current applications.
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.
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.
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 ...
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]