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Semester Exam Deep Learning InternationalEasy

In deep learning, what is the main purpose of CuDNN? Select the option consistent with standard deep learning theory.

A. CuDNN is a replacement for all programming languages B. CuDNN provides optimized GPU routines for deep neural network operations C. CuDNN is a type of loss function D. CuDNN is a data labeling tool only

Correct Answer: B. CuDNN provides optimized GPU routines for deep neural network operations

Semester Exam Deep Learning InternationalEasy

In deep learning, what is the main purpose of Shallow vs deep learning? Use the application-oriented interpretation.

A. Shallow learning cannot perform classification B. Deep models usually contain multiple hidden layers C. Shallow models always contain more layers than deep models D. Deep learning removes the need for training data

Correct Answer: B. Deep models usually contain multiple hidden layers

Semester Exam Deep Learning InternationalMedium

A student is designing a model and mentions Computer vision applications. Which interpretation is most accurate? Identify the best semester-exam answer.

A. Computer vision requires no evaluation metrics B. CNNs are unrelated to computer vision C. Deep learning can be applied to image classification, detection, and segmentation D. Deep learning cannot process images

Correct Answer: C. Deep learning can be applied to image classification, detection, and segmentation

Semester Exam Deep Learning InternationalMedium

A student is designing a model and mentions Backpropagation. Which interpretation is most accurate? Select the option consistent with standard deep learning theory.

A. Backpropagation requires no loss function B. Backpropagation is only a data augmentation method C. Backpropagation computes gradients by applying the chain rule through the network D. Backpropagation stores images in convolution kernels

Correct Answer: C. Backpropagation computes gradients by applying the chain rule through the network

Semester Exam Deep Learning InternationalMedium

A student is designing a model and mentions GANs. Which interpretation is most accurate? Select the option consistent with standard deep learning theory.

A. A GAN is used only for database indexing B. A GAN cannot generate samples C. A GAN trains a generator and discriminator in an adversarial setting D. A GAN uses only one network with no loss

Correct Answer: C. A GAN trains a generator and discriminator in an adversarial setting

Semester Exam Deep Learning InternationalMedium

A student is designing a model and mentions Training set. Which interpretation is most accurate? Use the application-oriented interpretation.

A. A training set contains no labels in supervised learning B. A training set is the final exam dataset C. A training set is used to fit model parameters D. A training set is used only after deployment

Correct Answer: C. A training set is used to fit model parameters

Semester Exam Deep Learning InternationalMedium

Which option correctly explains Speech recognition applications in a neural-network workflow? Identify the best semester-exam answer.

A. Speech recognition is impossible with neural networks B. Speech recognition uses only database joins C. Deep models cannot process audio signals D. Deep learning can map acoustic or sequential features to speech units or text

Correct Answer: D. Deep learning can map acoustic or sequential features to speech units or text

Semester Exam Deep Learning InternationalMedium

Which option correctly explains Gradient descent in a neural-network workflow? Select the option consistent with standard deep learning theory.

A. Gradient descent updates weights randomly without gradients B. Gradient descent is a file compression algorithm C. Gradient descent only applies to databases D. Gradient descent updates parameters in the direction that reduces loss

Correct Answer: D. Gradient descent updates parameters in the direction that reduces loss

Semester Exam Deep Learning InternationalMedium

Which option correctly explains Data augmentation in a neural-network workflow? Select the option consistent with standard deep learning theory.

A. Data augmentation means deleting all training images B. Data augmentation is used only after deployment C. Data augmentation makes validation unnecessary D. Data augmentation creates modified training examples to improve robustness

Correct Answer: D. Data augmentation creates modified training examples to improve robustness

Semester Exam Deep Learning InternationalMedium

Which option correctly explains Test set in a neural-network workflow? Use the application-oriented interpretation.

A. A test set is used to update weights every epoch B. A test set should be identical to the training set C. A test set is used for data normalization only D. A test set estimates performance on unseen data

Correct Answer: D. A test set estimates performance on unseen data

Semester Exam Deep Learning InternationalMedium

For an exam question on NLP applications, which answer is most correct? Identify the best semester-exam answer.

A. Deep learning is used for language modeling, translation, and text classification B. NLP models cannot use embeddings C. Text classification is not a machine learning task D. NLP cannot involve sequence models

Correct Answer: A. Deep learning is used for language modeling, translation, and text classification

Semester Exam Deep Learning InternationalMedium

For an exam question on Learning rate, which answer is most correct? Select the option consistent with standard deep learning theory.

A. The learning rate controls the step size of parameter updates B. The learning rate is the number of output classes C. The learning rate is the dataset size D. The learning rate disables optimization

Correct Answer: A. The learning rate controls the step size of parameter updates

Deep Learning MCQs