APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Natural Language Processing
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Audio and Video analysis
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Stock market prediction
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All of the above
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Detailed explanation-1: -RNN: Used for speech recognition, voice recognition, time series prediction, and natural language processing.
Detailed explanation-2: -Explanation: Recurrent neural networks (RNNs) : RNN is a multi-layered neural network that can store information in context nodes, allowing it to learn data sequences and output a number or another sequence. 5. Which of the following is/are Common uses of RNNs? Explanation: All of the above are Common uses of RNNs.
Detailed explanation-3: -Applications where CNNs are particularly useful include face detection, medical analysis, drug discovery and image analysis, Arikala said. RNNs are useful for language translation, entity extraction, conversational intelligence, sentiment analysis and speech analysis.