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