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 model evaluation technique A method used to update weights by calculating gradients A technique for generating new data A method for adding new layers to a neural network 2 / 10 Which of the following is an example of a Recurrent Neural Network (RNN) application? Object detection in images Predicting stock prices based on past data Machine translation Image classification 3 / 10 Which of the following are common types of neural network layers? Convolutional layers Decision tree layers Pooling layers Recurrent layers 4 / 10 What is the purpose of a loss function in deep learning? To increase the training speed of the model To backpropagate errors through the network To measure how well the model predicts the output To initialize weights in the network 5 / 10 What does the softmax function do in a neural network? Increases the number of layers in the network Applies an activation function for regression problems Reduces overfitting in deep learning models Converts raw outputs into probabilities 6 / 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's complexity is reduced When the model achieves high accuracy on both training and test data 7 / 10 What is an epoch in deep learning? A single update to a neural network's weights The time taken to train a model One complete pass through the entire training dataset The number of neurons in a hidden layer 8 / 10 Which of the following techniques can help prevent overfitting in deep learning models? Dropout Data augmentation Early stopping Increasing the learning rate 9 / 10 Which of the following optimizers are commonly used in deep learning? Random Forest Naive Bayes Stochastic Gradient Descent (SGD) Adam 10 / 10 In a Convolutional Neural Network (CNN), what is the purpose of pooling layers? To reduce the dimensionality of the feature maps To perform activation functions like ReLU To increase the number of parameters in the model To connect neurons to each other 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 Gen AI Quiz Quiz Gen Ai Advanced Quiz 8 Pradip Devkar December 20, 2024 Gen AI Quiz Quiz Gen Ai Advanced Quiz 7 Pradip Devkar December 20, 2024 Gen AI Quiz Quiz Gen Ai Medium Level Quiz 6 Pradip Devkar December 10, 2024 Leave a Reply Cancel replyYou must be logged in to post a comment.
