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 What is transfer learning in deep learning? Using a pre-trained model and adapting it for a new task Sharing parameters between two models Training a model from scratch on a new dataset Transferring data from one model to another 2 / 10 In a neural network, what is the purpose of the weight initialization technique? To speed up convergence during training To ensure accurate predictions from the start To reduce the size of the model To prevent vanishing or exploding gradients 3 / 10 What does batch normalization do in a neural network? It normalizes the activations of the previous layer in a mini-batch It increases the number of neurons in a hidden layer It normalizes the input data before feeding it into the network It reduces overfitting by adding regularization 4 / 10 What is the primary purpose of the ReLU activation function in neural networks? To introduce non-linearity to the network To reduce the size of the network To prevent overfitting To scale input values between 0 and 1 5 / 10 Which deep learning model is most commonly used for generating new data, like images or text? Multilayer Perceptrons (MLP) Generative Adversarial Networks (GAN) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) 6 / 10 Which of the following activation functions can help address the vanishing gradient problem? Tanh Leaky ReLU ReLU Sigmoid 7 / 10 What is the vanishing gradient problem in deep learning? A problem where gradients become too small during backpropagation A problem only occurring in output layers A problem where gradients become too large during backpropagation A type of model underfitting issue 8 / 10 Which of the following is an unsupervised learning technique used in deep learning? Support Vector Machines Autoencoders K-means clustering Decision Trees 9 / 10 Which of the following models is primarily used for sequential data? Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Generative Adversarial Networks (GAN) Feedforward Neural Networks 10 / 10 What is a dropout layer in deep learning? 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 A layer that removes noisy data from the input 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 Natural Language Processing Quiz Quiz NLP Medium Quiz 5 Pradip Devkar November 7, 2024 Natural Language Processing Quiz Quiz NLP Medium Quiz 4 Pradip Devkar November 7, 2024 Deep Learning Quiz Quiz Deep Learning Expert Quiz 10 Pradip Devkar November 6, 2024 Leave a Reply Cancel replyYou must be logged in to post a comment.
