- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Deep Learning(ML) QUIZ QUESTIONS
Question: 1
Which of the following neural networks has a memory?
Question: 2
Which is the following is true about neurons?
Question: 3
Which of the following is an example of deep learning?
Question: 4
Which of the following statement is not correct?
Question: 5
Autoencoder is an example of-
Question: 6
Which of the following deep learning models uses back propagation?
Question: 7
Which of the following steps can be taken to prevent overfitting in a neural network?
Question: 8
Neural networks can be used in-
Question: 9
In a classification problem, which of the following activation function is most widely used in the output layer of neural networks?
Question: 10
Which of the following is a deep learning library?
Question: 11
Which of the following is true about bias?
Question: 12
What is the purpose of a loss function?
Question: 13
Which of the following is a loss function?
Question: 14
Which of the following loss function is used in regression?
Question: 15
Suppose you have a dataset from where you have to predict three classes. Then which of the following configuration you should use in the output layer?
Question: 16
What is gradient descent?
Question: 17
What does a gradient descent algorithm do?
Question: 18
Which of the following activation function can not be used in the output layer of an image classification model?
Question: 19
For a binary classification problem, which of the following activation function is used?
Question: 20
Which of the following makes a neural network non-linear?
Question: 21
In a neural network, which of the following causes the loss not to decrease faster?
Question: 22
For an image classification task, which of the following deep learning algorithm is best suited?
Question: 23
Suppose the number of nodes in the input layer is 5 and the hidden layer is 10. The maximum number of connections from the input layer to the hidden layer would be-
Question: 24
Which of the following is true about dropout?
Question: 25
Which of the following is a correct order for the Convolutional Neural Network operation?
Question: 26
Convolutional Neural Network is used in-
Question: 27
Which of the following neural network model has a shared weight structure?
Question: 28
LSTM is a variation of-
Question: 29
Which of the following neural networks is the best for machine translation?
Question: 30
Which of the following neural networks has a memory?