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Correct Option: Recurrent Neural Networks (RNNs) (C) are designed for handling sequential data by maintaining a memory of previous inputs, making them ideal for time series and sequence-based problems. Why Other Options Are Wrong: A) CNNs: Convolutional Neural Networks are mainly used for image processing tasks and are not suitable for sequential data. B) FNNs: Feedforward networks do not have memory, making them unsuitable for sequential data where prior inputs are important. D) GANs: GANs are used for generating new data based on learned distributions, not for processing sequences. E) RBFNs: These are used in certain kinds of regression and classification tasks, but they do not excel at handling sequential or time-series data.
√3601 × √(224) ÷ √102 = ?
What is the value of "π"
40.02% of 1220.05 = ?2 + 29.09 × 7.99
26.11 × 7.98 + 27.03 × 3.12 – 34.95 + 93.9 × 3.02 =?
456 x 99.999 + 654 = ?
A sum of ₹60,000 is invested at a compound interest rate of 'x%' per annum, compounded annually, and grows to ₹75,264 in 2 ye...
14.742 ÷ 24.98 × 15.76 = ?% of 359.88
1224.04 + 4323.69 = ?% of 3200 + 4747.96
(124.99)² = ?