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 deep learning can be applied to image classification, detection, and segmentation. This matches the Deep Learning course topic: Computer vision applications.

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 deep learning can map acoustic or sequential features to speech units or text. This matches the Deep Learning course topic: Speech recognition applications.

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 deep learning is used for language modeling, translation, and text classification. This matches the Deep Learning course topic: NLP applications.

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