6CSM1 Batch-2 quiz

What is the primary purpose of a Recurrent Neural Network (RNN)?

• Image classification

• Text generation

• Reinforcement learning

• Object detection

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Which layer type is typically used to capture sequential dependencies in an RNN?

• Input layer

• Output layer

• Hidden layer

• Activation layer

What is the advantage of using recurrent layers in an RNN?

• They can generate synthetic data

• They can handle variable-length inputs

• They can handle non-linear transformations

• They can capture temporal dependencies in the input data

What is the purpose of the hidden state in an RNN?

• To adjust the learning rate during training

• To store the information from the previous time step

• To compute the gradients for backpropagation

• None of the above

Which activation function is commonly used in the recurrent layers of an RNN?

• ReLU (Rectified Linear Unit)

• Sigmoid

• Softmax

• Tanh (Hyperbolic Tangent)

What is the purpose of the time step parameter in an RNN?

• To adjust the learning rate during training

• To specify the length of the input sequence

• To determine the number of recurrent layers in the network

• None of the above

Which layer type is responsible for making final predictions in an RNN?

• Activation layer

• Input layer

• Hidden layer

• Output layer

What is the purpose of the recurrent connection in an RNN?

• To propagate the hidden state across different time steps

• To adjust the weights and biases of the network

• To reduce the dimensionality of the input data

• None of the above

What is the purpose of the backpropagation through time (BPTT) algorithm in RNN training?

• To prevent overfitting by regularizing the model

• To adjust the learning rate during training

• To compute the gradients and update the network's parameters

• None of the above