{"description":"Test your knowledge of perceptrons, their structure, activation functions, and their role in neural networks.","questions":[{"answer":"A simplified model of a neuron that makes decisions using weighted inputs and an activation function","number":1,"options":["A type of data scaling method","A simplified model of a neuron that makes decisions using weighted inputs and an activation function","A loss function used in classification","An optimization algorithm"],"question":"What is a perceptron in machine learning?"},{"answer":"Weights and bias","number":2,"options":["Distance metric","Confusion matrix","Weights and bias","Clustering coefficient"],"question":"Which of the following is a key component of a perceptron?"},{"answer":"Applies a transformation to the weighted sum to produce the output","number":3,"options":["Calculates the loss value","Applies a transformation to the weighted sum to produce the output","Measures distance between vectors","Sorts input values"],"question":"What does the activation function in a perceptron do?"},{"answer":"It provides a continuous output between 0 and 1 and is differentiable","number":4,"options":["It is not used in perceptrons","It outputs only binary values","It provides a continuous output between 0 and 1 and is differentiable","It is faster to compute"],"question":"What distinguishes the sigmoid function from the step function?"},{"answer":"It allows smooth gradients for backpropagation","number":5,"options":["It always outputs 1","It simplifies data preprocessing","It allows smooth gradients for backpropagation","It does not require weights"],"question":"Why is the sigmoid function useful in training neural networks?"},{"answer":"Shifting the activation function output","number":6,"options":["Normalizing the input data","Scaling the inputs","Shifting the activation function output","Increasing learning rate"],"question":"What does the bias term in a perceptron help with?"},{"answer":"OR gate","number":7,"options":["AND gate","NOT gate","OR gate","XOR gate"],"question":"In logic gate terms, which gate outputs 1 when at least one input is 1?"},{"answer":"The output becomes a continuous value between 0 and 1 instead of just 0 or 1","number":8,"options":["The output becomes a continuous value between 0 and 1 instead of just 0 or 1","The output is always equal to the input","The output is a fixed value regardless of input","The output becomes a negative number"],"question":"How does using a sigmoid activation function in a perceptron affect the output compared to a step function?"},{"answer":"Weights","number":9,"options":["Activation functions","Gradient functions","Weights","Loss functions"],"question":"What does a perceptron adjust to minimize the difference between predicted and actual output?"}],"title":"Perceptron"}