Artificial Intelligence Deep Learning Deep Learning Quiz Quiz Deep Learning Basics Quiz 2 Data AI Admin October 9, 2024 Welcome to the Deep Learning Basics Quiz 2! 🚀This quiz will further explore key deep learning concepts like optimizers, CNN layers, overfitting, and loss functions. Keep your deep learning knowledge sharp, and good luck! ⏰ Time's Up!Your quiz has ended, and your answers have been automatically submitted. Let’s see how much progress you’ve made in deep learning! Deep Learning Basics Quiz 2 This is the second quiz in the Deep Learning Basics series. It contains 10 multiple-choice questions designed to test your understanding of advanced topics like optimization, regularization, CNNs, and RNNs. Some questions may have more than one correct answer to help deepen your knowledge 1 / 10 In a Convolutional Neural Network (CNN), what is the purpose of pooling layers? To increase the number of parameters in the model To reduce the dimensionality of the feature maps To perform activation functions like ReLU To connect neurons to each other 2 / 10 What is the purpose of a loss function in deep learning? To initialize weights in the network To backpropagate errors through the network To measure how well the model predicts the output To increase the training speed of the model 3 / 10 What is backpropagation in deep learning? A technique for generating new data A method for adding new layers to a neural network A model evaluation technique A method used to update weights by calculating gradients 4 / 10 Which of the following optimizers are commonly used in deep learning? Stochastic Gradient Descent (SGD) Random Forest Adam Naive Bayes 5 / 10 Which of the following are common types of neural network layers? Convolutional layers Decision tree layers Pooling layers Recurrent layers 6 / 10 What does the softmax function do in a neural network? Reduces overfitting in deep learning models Applies an activation function for regression problems Converts raw outputs into probabilities Increases the number of layers in the network 7 / 10 What is overfitting in deep learning models? When the model takes too long to train When the model achieves high accuracy on both training and test data When the model's complexity is reduced When the model performs well on training data but poorly on unseen data 8 / 10 What is an epoch in deep learning? The number of neurons in a hidden layer One complete pass through the entire training dataset The time taken to train a model A single update to a neural network's weights 9 / 10 Which of the following techniques can help prevent overfitting in deep learning models? Dropout Increasing the learning rate Data augmentation Early stopping 10 / 10 Which of the following is an example of a Recurrent Neural Network (RNN) application? Image classification Object detection in images Machine translation Predicting stock prices based on past data Your score isThe average score is 60% 0% Restart quiz Share this… Whatsapp Linkedin Facebook Twitter Gmail Related Tags: Deep Learning, Deep Learning Quiz, Quiz Continue Reading Previous NLP Basics Quiz 3Next Deep Learning Basics Quiz 3 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.
