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? Sharing parameters between two models Training a model from scratch on a new dataset Using a pre-trained model and adapting it for a new task Transferring data from one model to another 2 / 10 What does batch normalization do in a neural network? 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 It normalizes the activations of the previous layer in a mini-batch 3 / 10 Which of the following is an unsupervised learning technique used in deep learning? K-means clustering Autoencoders Decision Trees Support Vector Machines 4 / 10 Which of the following models is primarily used for sequential data? Feedforward Neural Networks Recurrent Neural Networks (RNN) Generative Adversarial Networks (GAN) Convolutional Neural Networks (CNN) 5 / 10 What is a dropout layer in deep learning? A layer that removes noisy data from the input A layer that drops input features A layer that randomly drops neurons during training to prevent overfitting A layer used to reduce dimensionality of data 6 / 10 Which of the following activation functions can help address the vanishing gradient problem? Tanh ReLU Sigmoid Leaky ReLU 7 / 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 scale input values between 0 and 1 To prevent overfitting 8 / 10 Which deep learning model is most commonly used for generating new data, like images or text? Multilayer Perceptrons (MLP) Generative Adversarial Networks (GAN) Recurrent Neural Networks (RNN) Convolutional Neural Networks (CNN) 9 / 10 What is the vanishing gradient problem in deep learning? A problem only occurring in output layers A problem where gradients become too large during backpropagation A type of model underfitting issue A problem where gradients become too small during backpropagation 10 / 10 In a neural network, what is the purpose of the weight initialization technique? To speed up convergence during training To prevent vanishing or exploding gradients To reduce the size of the model To ensure accurate predictions from the start 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 Databases Quiz Quiz Databases Medium-level quiz 6 Pradip Devkar October 15, 2024 Artificial Intelligence Deep Learning Gen AI Natural Language Processing Bidirectional LSTMs: Enhanced Text Generation better than LSTM Data AI Admin October 14, 2024 Artificial Intelligence Deep Learning Gen AI Natural Language Processing Text Generation Made Easy with LSTM: A Comprehensive Guide for Beginners Data AI Admin October 14, 2024 Leave a Reply Cancel replyYou must be logged in to post a comment.
