DenseNet121

class DenseNet121(inputShape: IntArray?) : TFModels.CV<Functional>
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This model is a neural network for image classification that take images as input and classify the major object in the image into a set of 1000 different classes (labels are available via org.jetbrains.kotlinx.dl.impl.dataset.Imagenet.V1k.labels method).

Instantiates the DenseNet121 architecture.

The model have

  • an input with the shape (1x224x224x3)

  • an output with the shape (1x1000)

NOTE: This model is converted from Keras.applications, the last few layers in the noTop model have been removed so that the user can fine-tune the model for his specific task.

See also

Constructors

DenseNet121
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fun DenseNet121(inputShape: IntArray? = null)
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Functions

loadModelConfiguration
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open override fun loadModelConfiguration(jsonFile: File): Functional
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Loads model configuration from the provided jsonFile.

model
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open fun model(modelHub: ModelHub): Functional
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pretrainedModel
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open override fun pretrainedModel(modelHub: ModelHub): ImageRecognitionModel
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Properties

inputShape
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var inputShape: IntArray?
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modelRelativePath
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open override val modelRelativePath: String
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preprocessor
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open override val preprocessor: Operation<Pair<FloatArray, TensorShape>, Pair<FloatArray, TensorShape>>
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