Recurrent Neural Networks are best suited for Text Processing.
a) True b) False
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"It depends on how much your task is dependent upon long semantics or feature detection.
For tasks where length of text is important, it makes sense to go with RNN variants. These types of tasks include: question-answering, translation etc.
"A repetitive neural system is a class of artificial neural system where associations between hubs frame a coordinated chart along a grouping.
This enables it to show fleeting unique conduct for a period arrangement.
"
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‘Recurrent Neural Networks are best suited for Text Processing’ is a TRUE statement.
Explanation:
- RNN is considered to be a part of ANN where it connects the nodes to form a directional graph along with a temporal sequence.
- This method of connection enables it to implement a dynamic state of behaviour. Unlike FNN, RNN use internal state of memory in order to process the sequence of inputs.
- Due to this design, it can be applied to several tasks such as speech recognition, text processing, handwriting recognition, and so on.
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