Quiz - The Concept and Methods of ML

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Neural network hidden layers:

1 point

consist of neurons

are used in output layer

compare predictions and true values

are responsible for the process of learning

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Which of the following is NOT a hyperparameter?

1 point

loss function

number of hidden layers

batch size

neuron weight

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An artificial neural network consists of:

1 point

clusters

vectors

algorithms

neurons

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If dataset consists of 100 samples, and one batch is set to 50 samples, and the model is trained for 10 epochs, the total number of iterations during the learning process will be:

1 point

50,000

1,000

500

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The activation function:

1 point

is responsible for activation of input variables

activates the machine learning model

decides if the layer will be activated

determines the output value of a neuron

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Training of a machine using information that is neither classified nor labelled is called:

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unsupervised learning

supervised learning

association learning

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Unsupervised learning may be used to solve the problem of:

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regression

classification

association

clustering

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A function of a machine learning model can be:

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prescriptive or transcriptive

descriptive or transcriptive

descriptive or prescriptive

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In deep neural network there is more than one:

1 point

epoch

input layer

output layer

hidden layer

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Classification and regression are used in:

1 point

supervised learning

reinforcement learning

unsupervised learning

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