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 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 2 / 10 Which of the following are common types of neural network layers? Recurrent layers Convolutional layers Decision tree layers Pooling layers 3 / 10 What is the purpose of a loss function in deep learning? To backpropagate errors through the network To increase the training speed of the model To measure how well the model predicts the output To initialize weights in the network 4 / 10 In a Convolutional Neural Network (CNN), what is the purpose of pooling layers? To connect neurons to each other To increase the number of parameters in the model To reduce the dimensionality of the feature maps To perform activation functions like ReLU 5 / 10 Which of the following optimizers are commonly used in deep learning? Random Forest Naive Bayes Adam Stochastic Gradient Descent (SGD) 6 / 10 Which of the following techniques can help prevent overfitting in deep learning models? Data augmentation Dropout Early stopping Increasing the learning rate 7 / 10 What is overfitting in deep learning models? When the model achieves high accuracy on both training and test data When the model's complexity is reduced When the model takes too long to train When the model performs well on training data but poorly on unseen data 8 / 10 What is an epoch in deep learning? One complete pass through the entire training dataset The number of neurons in a hidden layer A single update to a neural network's weights The time taken to train a model 9 / 10 Which of the following is an example of a Recurrent Neural Network (RNN) application? Predicting stock prices based on past data Image classification Object detection in images Machine translation 10 / 10 What does the softmax function do in a neural network? Increases the number of layers in the network Reduces overfitting in deep learning models Applies an activation function for regression problems Converts raw outputs into probabilities Your score isThe average score is 50% 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 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.
