Neural Network Quiz

Froggy Jumps

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Test your ANN knowledge

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DIVYA M

United Arab Emirates

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Froggy Jumps Neural Network QuizOnline version Test your ANN knowledge by DIVYA M 1 What is the basic processing unit in an artificial neural network called? a Synapse b Perceptron 2D c Neuron (node) 2 Which function determines the output of a neuron given its input? a Optimizer b Activation function c Loss function 3 Which type of network processes data in a forward pass only? a Feedforward neural network b Recurrent neural network c Convolutional neural network 4 What method adjusts network weights to minimize error? a Monte Carlo b Forward propagation c Backpropagation 5 Which loss function is common for regression tasks? a Mean Squared Error b Hinge loss c Cross-Entropy 6 What is the purpose of gradient descent in training? a Increase learning rate b Minimize the loss function c Maximize accuracy 7 What term describes a network with many layers? a Single-layer network b Shallow network c Deep neural network 8 Which technique helps prevent overfitting by randomly dropping units during training? a Batch normalization b Dropout c Early stopping 9 Which layer is common in image processing to capture spatial features? a Recurrent layer b Dense layer c Convolutional layer 10 What is a network’s tendency to perform well on training data but poorly on new data called? a Underfitting b Normalization c Overfitting

Froggy Jumps

Neural Network QuizOnline version

Test your ANN knowledge

by DIVYA M

What is the basic processing unit in an artificial neural network called?

Synapse

Perceptron 2D

Neuron (node)

Which function determines the output of a neuron given its input?

Optimizer

Activation function

Loss function

Which type of network processes data in a forward pass only?

Feedforward neural network

Recurrent neural network

Convolutional neural network

What method adjusts network weights to minimize error?

Monte Carlo

Forward propagation

Backpropagation

Which loss function is common for regression tasks?

Mean Squared Error

Hinge loss

Cross-Entropy

What is the purpose of gradient descent in training?

Increase learning rate

Minimize the loss function

Maximize accuracy

What term describes a network with many layers?

Single-layer network

Shallow network

Deep neural network

Which technique helps prevent overfitting by randomly dropping units during training?

Batch normalization

Dropout

Early stopping

Which layer is common in image processing to capture spatial features?

Recurrent layer

Dense layer

Convolutional layer

What is a network’s tendency to perform well on training data but poorly on new data called?

Underfitting

Normalization

Overfitting

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Neural Network Quiz

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Neural Network QuizOnline version

by DIVYA M

What is the basic processing unit in an artificial neural network called?

Which function determines the output of a neuron given its input?

Which type of network processes data in a forward pass only?

What method adjusts network weights to minimize error?

Which loss function is common for regression tasks?

What is the purpose of gradient descent in training?

What term describes a network with many layers?

Which technique helps prevent overfitting by randomly dropping units during training?

Which layer is common in image processing to capture spatial features?

What is a network’s tendency to perform well on training data but poorly on new data called?

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