Update output_topic_details.txt

output_topic_details.txt

@@ -54,6 +54,10 @@ Topic: Natural Language Processing
 
 Description: Field of linguistics and computer scienceFor other uses, see NLP.This article is about natural language processing done by computers. For the natural language processing done by the human brain, see Language processing in the brain.Natural language processing NLP is an interdisciplinary subfield of computer science and linguistics. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic i.e. statistical and, most recently, neural network-based machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.
 
+Topic: NLP
+
+Description: Field of linguistics and computer scienceFor other uses, see NLP.This article is about natural language processing done by computers. For the natural language processing done by the human brain, see Language processing in the brain.Natural language processing NLP is an interdisciplinary subfield of computer science and linguistics. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic i.e. statistical and, most recently, neural network-based machine learning approaches. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation.
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 Topic: Recurrent Neural Network
 
 Description: Computational model used in machine learningNot to be confused with recursive neural network.A recurrent neural network RNN is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers. In contrast to the uni-directional feedforward neural network, it is a bi-directional artificial neural network, meaning that it allows the output from some nodes to affect subsequent input to the same nodes. Their ability to use internal state memory to process arbitrary sequences of inputs makes them applicable to tasks such as unsegmented, connected handwriting recognition or speech recognition. The term "recurrent neural network" is used to refer to the class of networks with an infinite impulse response, whereas "convolutional neural network" refers to the class of finite impulse response. Both classes of networks exhibit temporal dynamic behavior. A finite impulse recurrent network is a directed acyclic graph that can be unrolled and replaced with a strictly feedforward neural network, while an infinite impulse recurrent network is a directed cyclic graph that can not be unrolled.Additional stored states and the storage under direct control by the network can be added to both infinite-impulse and finite-impulse networks. The storage can also be replaced by another network or graph if that incorporates time delays or has feedback loops. Such controlled states are referred to as gated state or gated memory, and are part of long short-term memory networks LSTMs and gated recurrent units. This is also called Feedforward Neural Network FNN. Recurrent neural networks are theoretically Turing complete and can run arbitrary programs to process arbitrary sequences of inputs.