Companion

object Companion
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Functions

fromOutput
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@JvmStatic
fun fromOutput(finalLayer: Layer): Functional
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Creates the Functional model.

loadDefaultModelConfiguration
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@JvmStatic
fun loadDefaultModelConfiguration(modelDirectory: File, inputShape: IntArray? = null): Functional
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Loads a Functional model from json file with name 'modelConfig.json' with model configuration located in modelDirectory.

loadModelConfiguration
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@JvmStatic
fun loadModelConfiguration(configuration: File, inputShape: IntArray? = null): Functional
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Loads a Functional model from json file with model configuration.

loadModelLayersFromConfiguration
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@JvmStatic
fun loadModelLayersFromConfiguration(configuration: File, inputShape: IntArray? = null): List<Layer>
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Loads a Functional model layers from json file with model configuration.

loadModelLayersFromDefaultConfiguration
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@JvmStatic
fun loadModelLayersFromDefaultConfiguration(modelDirectory: File, inputShape: IntArray? = null): List<Layer>
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Loads a Functional model layers from json file with name 'modelConfig.json' with model configuration located in modelDirectory.

of
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@JvmStatic
fun of(vararg layers: Layer, noInput: Boolean = false): Functional
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@JvmStatic
fun of(layers: List<Layer>, noInput: Boolean = false): Functional
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Creates the Functional model.

@JvmStatic
fun of(pretrainedModel: GraphTrainableModel, topModel: GraphTrainableModel): Functional
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Creates the Functional model from two models: pretrainedModel and topModel. All layers of pretrainedModel will be frozen automatically. The input of the topModel will be connected to the output of the pretrainedModel.