ML Chapter 02

Front

What type of values does a perceptron output? Options: Real numbers, Binary values (1 or 0), Characters, Complex numbers

Back

Binary values (1 or 0)

Front

What condition causes a perceptron to output 1? Options: When the signal is less than theta, When weights are negative, When the sum of weighted inputs exceeds the threshold, When the signal is equal to zero

Back

When the sum of weighted inputs exceeds the threshold

Front

Which logic gate outputs 1 only when both inputs are 1? Options: OR, NAND, AND, XOR

Back

AND

Front

Which logic gate outputs 0 only when both inputs are 1? Options: XOR, NAND, AND, OR

Back

NAND

Front

Which logic gate outputs 1 if at least one input is 1? Options: NAND, AND, OR, XOR

Back

OR

Front

Why can't XOR be modeled with a single-layer perceptron?

Back

It needs non-linear separation

Front

What makes it possible to express XOR using a perceptron?

Back

Adding hidden layers

Front

What is a perceptron unable to model with a single layer? Options: OR gate, NAND gate, AND gate, XOR gate

Back

XOR gate

Front

What is the purpose of the bias in a perceptron?

Back

To shift the activation threshold.

Front

Which function does a perceptron perform when summing inputs and weights? Options: Matrix inversion, Vector normalization, Linear combination, Activation encoding

Back

Linear combination