Which type of neural network architecture is used for anomaly detection?

Which of the following is a common application of recurrent neural networks (RNNs)?

Which of the following is not a commonly used deep learning framework?

In deep learning, what does the term "backpropagation" refer to?

Which technique is used to normalize the input to a neural network, leading to faster training and better generalization?

Which activation function is typically used for the output layer in a binary classification problem?

Which type of neural network is used for sequence prediction tasks?

Which of the following is a drawback of using deep neural networks?

Which type of layer is used to increase the non-linearity of a neural network?

Which technique is used to adjust the learning rate during training based on the validation performance?

What is the purpose of the softmax function in deep learning?

Which of the following activation functions is generally not used in hidden layers due to vanishing gradient problems?

Which layer in a deep neural network is responsible for reducing the dimensionality of the input data?

Which of the following is a drawback of using unsupervised pre-training in deep learning?

Which activation function is preferred in the output layer of a multi-class classification problem?

Which of the following techniques is used to reduce the computational cost of training deep neural networks?

Which of the following techniques is used to prevent overfitting in deep learning?

What is the purpose of data augmentation in deep learning?

Which technique is used to reduce the dimensionality of the input data in deep learning?

Which technique is used to prevent the weights of a neural network from becoming too large during training?

What is the purpose of the "momentum" parameter in optimization algorithms such as SGD and Adam?

Which of the following techniques is used to improve the convergence of stochastic gradient descent?

Which layer is responsible for introducing non-linearity into the neural network?

Which of the following techniques is used for regularization in deep learning?

Which deep learning architecture is commonly used for image classification tasks?

In deep learning, what is the purpose of the "padding" parameter in convolutional neural networks?

What is the purpose of dropout in deep learning?

In deep learning, what does the term "epoch" refer to?

What is the purpose of the learning rate scheduler in deep learning?

Which type of layer is commonly used to connect different parts of a neural network, enabling gradients to flow during backpropagation?