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 Which of the following techniques can help prevent overfitting in deep learning models? Data augmentation Early stopping Increasing the learning rate Dropout 2 / 10 Which of the following optimizers are commonly used in deep learning? Stochastic Gradient Descent (SGD) Random Forest Adam Naive Bayes 3 / 10 In a Convolutional Neural Network (CNN), what is the purpose of pooling layers? To reduce the dimensionality of the feature maps To connect neurons to each other To increase the number of parameters in the model To perform activation functions like ReLU 4 / 10 Which of the following is an example of a Recurrent Neural Network (RNN) application? Predicting stock prices based on past data Machine translation Object detection in images Image classification 5 / 10 What is an epoch in deep learning? A single update to a neural network's weights The number of neurons in a hidden layer One complete pass through the entire training dataset The time taken to train a model 6 / 10 What is backpropagation in deep learning? A technique for generating new data A method used to update weights by calculating gradients A model evaluation technique A method for adding new layers to a neural network 7 / 10 Which of the following are common types of neural network layers? Pooling layers Recurrent layers Decision tree layers Convolutional layers 8 / 10 What is the purpose of a loss function in deep learning? To measure how well the model predicts the output To backpropagate errors through the network To increase the training speed of the model To initialize weights in the network 9 / 10 What does the softmax function do in a neural network? Applies an activation function for regression problems Increases the number of layers in the network Reduces overfitting in deep learning models Converts raw outputs into probabilities 10 / 10 What is overfitting in deep learning models? When the model performs well on training data but poorly on unseen data 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 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 NLP Basics Quiz 3Next Deep Learning Basics Quiz 3 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.
