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Machine-learning Questions Set 8:

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Which of the following is NOT a common activation function used in neural networks?

Sigmoid

ReLU

Tanh

Softmax

Solution:

Which of the following activation functions is commonly used in convolutional neural networks (CNNs)?

Sigmoid

Tanh

ReLU

Softmax

Solution:

Which of the following is a technique used to improve the scalability of SVM for large datasets?

Incremental learning

Online learning

Batch learning

Ensemble learning

Solution:

Which of the following is a commonly used optimization algorithm for training neural networks?

Linear Regression

Stochastic Gradient Descent (SGD)

Principal Component Analysis (PCA)

K-Nearest Neighbors (KNN)

Solution:

Which of the following is a technique used to prevent overfitting in neural networks?

Early stopping

Increasing the number of neurons in each layer

Decreasing the number of hidden layers

Decreasing the regularization parameter

Solution:

Which of the following is a neural network architecture that has a single hidden layer and a single output neuron?

Multi-layer Perceptron (MLP)

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

Feedforward Neural Network

Solution:

Which of the following is a limitation of using neural networks for text classification tasks?

The need for extensive feature engineering

Difficulty in handling large datasets

Difficulty in handling variable-length inputs

Difficulty in handling high-dimensional inputs

Solution:

Which of the following is a disadvantage of using SVM for regression tasks?

It is less accurate compared to other regression algorithms

It cannot handle non-linearly separable data

It requires careful tuning of hyperparameters

It is less interpretable compared to other regression algorithms

Solution:

Which of the following is a disadvantage of using a deep neural network?

It requires less training data compared to shallow neural networks

It is computationally less expensive compared to shallow neural networks

It is prone to overfitting

It is more interpretable compared to shallow neural networks

Solution:

What is the purpose of the backpropagation algorithm in neural networks?

To initialize the weights of the neural network

To compute the gradient of the cost function with respect to the model parameters

To regularize the neural network to prevent overfitting

To adjust the learning rate during training

Solution:

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Machine-learning Questions Set 8:

Which of the following is NOT a common activation function used in neural networks?

Solution:

Which of the following activation functions is commonly used in convolutional neural networks (CNNs)?

Solution:

Which of the following is a technique used to improve the scalability of SVM for large datasets?

Solution:

Which of the following is a commonly used optimization algorithm for training neural networks?

Solution:

Which of the following is a technique used to prevent overfitting in neural networks?

Solution:

Which of the following is a neural network architecture that has a single hidden layer and a single output neuron?

Solution:

Which of the following is a limitation of using neural networks for text classification tasks?

Solution:

Which of the following is a disadvantage of using SVM for regression tasks?

Solution:

Which of the following is a disadvantage of using a deep neural network?

Solution:

What is the purpose of the backpropagation algorithm in neural networks?

Solution:

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