All MCQs

The correct answer is cudnn provides optimized gpu routines for deep neural network operations. This matches the Deep Learning course topic: CuDNN.

The correct answer is deep models usually contain multiple hidden layers. This matches the Deep Learning course topic: Shallow vs deep learning.

The correct answer is backpropagation computes gradients by applying the chain rule through the network. This matches the Deep Learning course topic: Backpropagation.

The correct answer is a gan trains a generator and discriminator in an adversarial setting. This matches the Deep Learning course topic: GANs.

The correct answer is a training set is used to fit model parameters. This matches the Deep Learning course topic: Training set.

The correct answer is gradient descent updates parameters in the direction that reduces loss. This matches the Deep Learning course topic: Gradient descent.

The correct answer is data augmentation creates modified training examples to improve robustness. This matches the Deep Learning course topic: Data augmentation.

The correct answer is a test set estimates performance on unseen data. This matches the Deep Learning course topic: Test set.

The correct answer is the learning rate controls the step size of parameter updates. This matches the Deep Learning course topic: Learning rate.

The correct answer is data normalization scales or centers data to support stable training. This matches the Deep Learning course topic: Data normalization.

The correct answer is a validation set supports model selection and hyperparameter tuning. This matches the Deep Learning course topic: Validation set.

The correct answer is evaluation metrics such as accuracy, precision, recall, and loss help compare models. This matches the Deep Learning course topic: Evaluation metrics.