Which deep learning architecture is specifically designed for processing sequential data such as time series or natural language?

Practise this CPMAI AI Project Exam Prep question free, then download the PDF, watch the video walkthrough, or unlock timed mock exams for the full web bank.

Download PDF Practice test

Multiple choice — select the best answer

AMultilayer Perceptrons (MLPs)
BRadial Basis Function Networks (RBFNs)
CRecurrent Neural Networks (RNNs)
DConvolutional Neural Networks (CNNs)

✓ Correct answer: C. Recurrent Neural Networks (RNNs) Recurrent Neural Networks (RNNs) are specifically designed to handle sequential data by maintaining an internal state (memory) that captures information about previous inputs in the sequence, making them well-suited for time series analysis and natural language processing.

.q-expl{display:block!important}.q-opt[data-idx="2"]{border-color:#16a34a;background:#f0fdf4}.q-opt[data-idx="2"] .oltr{background:#16a34a;color:#fff}.q-opt{cursor:default!important;pointer-events:none}

Keep practising. Use the free CPMAI AI Project Exam Prep PDF, watch the YouTube walkthrough, or unlock all 10 web questions with timed mock exams.

Free PDF Video walkthrough

← Previous Next → 🎲 Random question ↩ Back to all questions

Keep practising

Which deep learning architecture is specifically designed for processing sequential data such as time series or natural language?

Related questions

Free practice here. Timed mocks when you are ready.