APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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CNN
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ANN
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DBN
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RNN
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Detailed explanation-1: -Recurrent neural networks (RNNs) are the state of the art algorithm for sequential data and are used by Apple’s Siri and Google’s voice search. It is the first algorithm that remembers its input, due to an internal memory, which makes it perfectly suited for machine learning problems that involve sequential data.
Detailed explanation-2: -Recurrent Neural Network (RNN) is a Deep learning algorithm and it is a type of Artificial Neural Network architecture that is specialized for processing sequential data. RNNs are mostly used in the field of Natural Language Processing (NLP).
Detailed explanation-3: -A recurrent neural network (RNN) is a type of artificial neural network which uses sequential data or time series data.
Detailed explanation-4: -RNN deep learning algorithm is best suited for sequential data. RNN is most preferably used in image captioning, time-series analysis, natural-language processing, handwriting recognition, and machine translation. The most vital feature of RNN is the Hidden state, which memorizes some information about a sequence.