Lukas lukasjapan

I am a german software engineer working and living in Tokyo. My preferred languages are TypeScript, Ruby, Kotlin, C++, Rust, ... the list is long.

lukasjapan / using-deeplearning4j-to-distinguish-between-cats-and-dogs.3.kt

Created February 10, 2021 07:39

using-deeplearning4j-to-distinguish-between-cats-and-dogs.3.kt

	// load vgg16 model from model zoo
	val model = VGG16().initPretrained(PretrainedType.IMAGENET) as ComputationGraph

	// restore the new model that was saved to a file
	val catsdogsModel = ModelSerializer.restoreMultiLayerNetwork(javaClass.getResource("/catdogmodel.dl4j").openStream())

	// get vgg16 labels
	val image = FileInputStream("input.png")
	val input = NativeImageLoader(224, 224, 3).asMatrix(image).also { VGG16ImagePreProcessor().transform(it) }
	val vgg16labels = vgg16model.outputSingle(input)

lukasjapan / using-deeplearning4j-to-distinguish-between-cats-and-dogs.2.kt

Created February 10, 2021 07:38

using-deeplearning4j-to-distinguish-between-cats-and-dogs.2.kt

	// designing the model - mostly the same as shown at https://deeplearning4j.org/mnist-for-beginners
	val conf = NeuralNetConfiguration.Builder()
	.seed(ThreadLocalRandom.current().nextLong())
	.optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
	.iterations(1)
	.learningRate(0.006)
	.updater(Nesterovs(0.9))
	.regularization(true).l2(1e-4)
	.list()

lukasjapan / using-deeplearning4j-to-distinguish-between-cats-and-dogs.1.kt

Last active February 10, 2021 07:37

using-deeplearning4j-to-distinguish-between-cats-and-dogs 1

	val model = VGG16().initPretrained(PretrainedType.IMAGENET) as ComputationGraph
	val image = FileInputStream("input.png")
	val input = NativeImageLoader(224, 224, 3).asMatrix(image).also { VGG16ImagePreProcessor().transform(it) }
	val output = model.outputSingle(input)