EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Deep learning techniques show a lot of promise for challenging natural language processing problems.
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Deep learning techniques
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logistic techniques
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scientific techniques
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None of the above
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Explanation:
Detailed explanation-1: -Large volumes of data are necessary for deep learning. Additionally, the more accurate and powerful models will need more parameters, which calls for more data. Deep learning models are rigid and incapable of multitasking after they have been trained. Only one unique problem can they effectively and precisely solve.
Detailed explanation-2: -Deep learning is a technology that uses a lot of resources. To train the models, it necessitates more potent GPUs, high-performance graphics processing units, enormous amounts of storage, etc. Furthermore, compared to conventional machine learning, this approach requires more time to train.
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