Artificial Intelligence Deep Learning Deep Learning Quiz Quiz Deep Learning Basics Quiz 3 Data AI Admin October 9, 2024 Welcome to the Deep Learning Basics Quiz 3! 💡In this quiz, you’ll explore advanced deep learning topics like the vanishing gradient problem, transfer learning, dropout, and GANs. Keep learning and enjoy! ⏰ Time's Up!The quiz is over, and your answers have been submitted automatically. Let’s review your knowledge of deep learning concepts! Deep Learning Basics Quiz 3 This is the third quiz in the Deep Learning Basics series, covering 10 questions on more advanced topics such as batch normalization, weight initialization, and transfer learning. Each question is designed to deepen your understanding, and some may have more than one correct answer. 1 / 10 Which of the following is an unsupervised learning technique used in deep learning? Decision Trees Autoencoders K-means clustering Support Vector Machines 2 / 10 What is the vanishing gradient problem in deep learning? A type of model underfitting issue A problem only occurring in output layers A problem where gradients become too small during backpropagation A problem where gradients become too large during backpropagation 3 / 10 Which of the following activation functions can help address the vanishing gradient problem? Tanh Leaky ReLU Sigmoid ReLU 4 / 10 What is transfer learning in deep learning? Using a pre-trained model and adapting it for a new task Training a model from scratch on a new dataset Sharing parameters between two models Transferring data from one model to another 5 / 10 What does batch normalization do in a neural network? It normalizes the activations of the previous layer in a mini-batch It normalizes the input data before feeding it into the network It increases the number of neurons in a hidden layer It reduces overfitting by adding regularization 6 / 10 What is a dropout layer in deep learning? A layer that removes noisy data from the input A layer used to reduce dimensionality of data A layer that randomly drops neurons during training to prevent overfitting A layer that drops input features 7 / 10 What is the primary purpose of the ReLU activation function in neural networks? To scale input values between 0 and 1 To reduce the size of the network To prevent overfitting To introduce non-linearity to the network 8 / 10 In a neural network, what is the purpose of the weight initialization technique? To prevent vanishing or exploding gradients To speed up convergence during training To ensure accurate predictions from the start To reduce the size of the model 9 / 10 Which of the following models is primarily used for sequential data? Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Feedforward Neural Networks Generative Adversarial Networks (GAN) 10 / 10 Which deep learning model is most commonly used for generating new data, like images or text? Generative Adversarial Networks (GAN) Convolutional Neural Networks (CNN) Multilayer Perceptrons (MLP) Recurrent Neural Networks (RNN) Your score isThe average score is 0% 0% Restart quiz Share this… Whatsapp Linkedin Facebook Twitter Gmail Related Tags: Deep Learning, Deep Learning Quiz, Quiz Continue Reading Previous Deep Learning Basics Quiz 2Next Data Science Expert Quiz 10 More Stories Artificial Intelligence Deep Learning Gen AI Machine Learning Natural Language Processing Projects Technology DriveXpert AI Assistant : Users quickly solve their car-related queries balugorad January 15, 2025 Artificial Intelligence Open Source vs Paid Large Language Models (LLMs): A Strategic Comparison balugorad January 15, 2025 Artificial Intelligence Deep Learning Gen AI Vector Databases: A Key Component in Modern AI and Data Science balugorad January 9, 2025 Leave a Reply Cancel replyYou must be logged in to post a comment.
