ML Chapter 03

What are the three main layers in a neural network?

• Input, Processing, Final
• Input, Hidden, Output
• Input, Calculation, Output
• Entry, Core, Result

What is the function of the activation function in a neural network?

• To add noise to the data
• To improve data storage
• To convert input signals into output signals
• To filter only high-frequency data

Which of the following is an activation function?

• Mean Squared
• ReLU
• Softmax
• Dropout

What is the mathematical expression of a sigmoid function?

• h(x) = x
• h(x) = 1 / (1 + e^(-x))
• h(x) = max(0, x)
• h(x) = x^2

Which function returns 0 if the input is negative, and the input itself if positive?

• Step Function
• Sigmoid
• ReLU
• Tanh

Which activation function outputs only 0 or 1?

• Sigmoid
• ReLU
• Identity
• Step Function

What is a property of both sigmoid and step functions?

• Output can be greater than 1
• Output is always zero
• Output ranges between 0 and 1
• They are linear functions

What function is typically used at the output layer for regression tasks?

• Sigmoid
• Softmax
• Identity
• Tanh

Which function is used to classify data into multiple categories in a neural network?

• Mean Squared Error
• ReLU
• Identity
• Softmax

What does the softmax function convert its input into?

• Binary output
• Probabilities that sum to 1
• Pixel values
• Negative numbers