Learning Path
Question & Answer
Choose the Best Answer
Weights
Activations
Outputs
Inputs
Understanding the Answer
Let's break down why this is correct
In a neural network, the numbers that decide how much one neuron influences another are called weights. Other options are incorrect because Activations are the results after a neuron’s weighted sum passes through a function; Outputs are the final answers the network gives.
Key Concepts
Parametrized Predictors
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Deep Dive: Parametrized Predictors
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Definition
Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices. Examples include linear regression models for scalar and vector outputs. The parameters determine the structure and behavior of the predictor.
Topic Definition
Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices. Examples include linear regression models for scalar and vector outputs. The parameters determine the structure and behavior of the predictor.
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