AI Mastery Quiz - Artificial Intelligence Assessment

Question 1

What is the primary difference between supervised and unsupervised learning?

Supervised learning uses labeled data while unsupervised learning uses unlabeled data Supervised learning is faster than unsupervised learning Unsupervised learning requires more computational power There is no significant difference between them

Question 2

Which activation function is most commonly used in hidden layers of deep neural networks?

Sigmoid ReLU (Rectified Linear Unit) Linear Step function

Question 3

What is overfitting in machine learning?

When a model performs poorly on both training and test data When a model performs well on training data but poorly on unseen data When a model trains too quickly When a model has too few parameters

Question 4

What does CNN stand for in deep learning?

Central Neural Network Convolutional Neural Network Cascading Neural Network Computational Neural Network

Question 5

Which technique is used to prevent overfitting by randomly dropping neurons during training?

Batch normalization Dropout Pooling Regularization

Question 6

What is the purpose of backpropagation in neural networks?

To move data forward through the network To calculate and propagate errors backward to update weights To initialize network weights To test the network performance

Question 7

Which of the following is an example of reinforcement learning?

Email spam classification Customer segmentation Game-playing AI that learns from rewards and penalties Image recognition

Question 8

What is transfer learning in deep learning?

Transferring data between different databases Using a pre-trained model on a new but related task Moving a model from one programming language to another Converting a neural network to a decision tree

Question 9

What is the vanishing gradient problem?

When gradients become extremely small, making it difficult to train deep networks When the learning rate is too high When the network has too few layers When training data is insufficient

Question 10

Which algorithm is commonly used for training decision trees?

Gradient Descent CART (Classification and Regression Trees) Backpropagation K-means clustering

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