- 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)
Neural Networks QUIZ QUESTIONS
Question: 1
What is the basic building block of a neural network?
Question: 2
What is the purpose of the activation function in a neural network?
Question: 3
Which of the following is not a common activation function?
Question: 4
Which of the following is a technique used to prevent overfitting in neural networks?
Question: 5
What is the process of updating weights in a neural network called?
Question: 6
In which type of neural network are layers arranged in a hierarchical order, with each layer learning to recognize increasingly complex features?
Question: 7
Which type of neural network is designed to handle sequence data and has a memory of previous inputs?
Question: 8
What is the primary difference between a Long Short-Term Memory (LSTM) network and a standard Recurrent Neural Network (RNN)?
Question: 9
What is the purpose of the loss function in a neural network?
Question: 10
What is the role of the optimizer in a neural network?
Question: 11
Which of the following optimizers is most commonly used in neural networks?
Question: 12
What is the purpose of the learning rate in a neural network?
Question: 13
What is the term used to describe a neural network that has multiple hidden layers?
Question: 14
Which of the following is not a hyperparameter in a neural network?
Question: 15
What is the process of fine-tuning hyperparameters to optimize a neural network's performance called?
Question: 16
Which of the following is a common method for reducing the dimensionality of input data in a neural network?
Question: 17
What is the purpose of batch normalization in a neural network?
Question: 18
Which of the following is a common method for preventing vanishing gradient problem in deep neural networks?
Question: 19
What is the purpose of the pooling layer in a Convolutional Neural Network (CNN)?
Question: 20
In a Recurrent Neural Network (RNN), what is the purpose of the hidden state?
Question: 21
What is the term used to describe the ability of a neural network to generalize well to new, unseen data?
Question: 22
What is the purpose of the Softmax activation function?
Question: 23
What is the purpose of the Cross-Entropy Loss function in a neural network?
Question: 24
Which of the following is a technique for improving the performance of a neural network ensemble?
Question: 25
What is the process of converting input data into a fixed-size vector before feeding it into a neural network called?
Question: 26
In a Convolutional Neural Network (CNN), what is the purpose of a filter or kernel?
Question: 27
Which of the following is not a type of layer in a neural network?
Question: 28
What is the purpose of weight initialization in a neural network?
Question: 29
Which of the following is a technique for increasing the amount of training data in a neural network?
Question: 30
In a neural network, what is the term used to describe a complete pass through the training data during the training process?