Deep Learning - Ms. Marwa

Which deep learning architecture is suitable for learning hierarchical features and patterns?

• Feedforward Neural Network

• Radial Basis Function Network

• Deep Belief Network

• Echo State Network

What is the purpose of the learning rate in gradient descent optimization?

• Controlling the step size during weight updates

• Initializing weights in the network

• Regularizing the model

• Defining the number of iterations

Which technique is used for reducing dimensionality and capturing essential features in unsupervised learning?

• Principal Component Analysis (PCA)

• K-means clustering

• Decision trees

• Naive Bayes

Which of the following is a popular deep learning framework developed by Facebook AI Research (FAIR)?

• TensorFlow

• PyTorch

• Keras

• Theano

What is the purpose of the Adam optimizer in deep learning?

• Weight initialization

• Momentum-based optimization

• Batch normalization

• Gradient clipping

What is the primary purpose of activation functions in deep learning?

• Weight initialization

• Gradient descent optimization

• Introducing non-linearity

• Regularization

In deep learning, what is the purpose of dropout regularization?

• Enhancing model interpretability

• Reducing overfitting

• Accelerating training speed

• Increasing model complexity

Which type of neural network architecture is commonly used for sequence-to-sequence tasks like language translation?

• Convolutional Neural Network (CNN)

• Recurrent Neural Network (RNN)

• Long Short-Term Memory (LSTM)

• Autoencoder

What is the vanishing gradient problem in deep neural networks?

• Rapid convergence to a local minimum

• Unstable weights during training

• Gradient becoming extremely small, hindering learning

• Exploding gradients causing numerical instability

What is the role of an embedding layer in a natural language processing (NLP) deep learning model?

• Dimensionality reduction of input features

• Encoding categorical variables

• Learning distributed representations of words

• Feature scaling for text data