Evaluate multi-output neural network model
Returns the loss value and the metric values for a multi-output model in test mode. Computation is done in batches.
Inputs
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Model — DynamicObject
The trained model to evaluate.
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Testing X — Tensor
Test input data.
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Testing Y — DynamicObject
A DynamicObject mapping the output names of the neural network to the correspoding test output data.
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Batch size — Integer
Number of samples per batch of computation.
Outputs
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Loss — Float
Test loss of the model, taking all outputs into account.
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Loss of each output — DynamicObject
A DynamicObject mapping the output names to corresponding individual test loss (Float).
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Metric values — DynamicObject
A DynamicObject mapping metric names to their corresponding value (Float).