neural network inference
Neural network inference is the process by which a trained neural network applies its learned knowledge to make predictions or decisions on new input data. It involves the forward propagation of input through the network's layers to produce an output, utilizing the network's parameters and activation functions to transform and combine input information.
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Related Concepts (20)
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Similar Concepts
- artificial neural networks
- bayesian inference
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- inference in neural networks
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