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The College of Engineering Trivandrum, commonly shortened to CET, is an engineering college in the Indian state of Kerala, situated in Thiruvananthapuram.Founded in 1939 by the Travancore monarch Chithira Thirunal, it is the state's oldest technical institution.
KTU was established by the Government of Kerala through an Ordinance on 21 May 2014. [7] Kuncheria P. Isaac, a former Member Secretary of the All India Council for Technical Education, was appointed as the first Vice-Chancellor of the university on 1 September 2014, and M. Abdul Rahman, former All India Council for Technical Education Director, was appointed as the first Pro-Vice-Chancellor. [8]
Entrance of Thangal Kunju Musaliar College of Engineering. The college was founded by the TKM Educational Trust, [1] an organization established by Thangal Kunju Musaliar.The college's foundation stone was laid on 3 February 1956 by Rajendra Prasad, the first President of India, and was inaugurated by Humayun Kabir, the Cabinet Minister for Scientific and Cultural Affairs, on 3 July 1958.
In artificial intelligence (AI), particularly machine learning (ML), [1] ablation is the removal of a component of an AI system. An ablation study aims to determine the contribution of a component to an AI system by removing the component, and then analyzing the resultant performance of the system.
Torch is an open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. [3] It provides LuaJIT interfaces to deep learning algorithms implemented in C. It was created by the Idiap Research Institute at EPFL. Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6]
KTU may refer to: APJ Abdul Kalam Technological University, India; Korean Teachers & Education Workers' Union; Key Telephone Unit; KTU (band), Finnish-American;
Thus, during learning, the version space (which itself is a set – possibly infinite – containing all consistent hypotheses) can be represented by just its lower and upper bounds (maximally general and maximally specific hypothesis sets), and learning operations can be performed just on these representative sets.
The book outlines five approaches of machine learning: inductive reasoning, connectionism, evolutionary computation, Bayes' theorem and analogical modelling.The author explains these tribes to the reader by referring to more understandable processes of logic, connections made in the brain, natural selection, probability and similarity judgments.
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