Tobi Akomolede AKA Mocuto Mocuto

Mocuto / Network.scala

Created December 20, 2017 05:53

	// From: "Character-Aware Neural Language Models" https://arxiv.org/abs/1508.06615

	val kernelsPerWidth = 5
	val numKernels = kernelWidths.length * kernelsPerWidth

	val biasInterval = scala.util.Random.nextGaussian() / 0.5

	log.info("Build model....")
	val confWithoutConv = new NeuralNetConfiguration.Builder()
	.learningRate(0.01)

Mocuto / Network configuration

Created December 20, 2017 05:52

	val kernelsPerWidth = 5
	val numKernels = kernelWidths.length * kernelsPerWidth

	val biasInterval = scala.util.Random.nextGaussian() / 0.5

	log.info("Build model....")
	val confWithoutConv = new NeuralNetConfiguration.Builder()
	.learningRate(0.01)
	.graphBuilder()
	.addInputs("input")

Mocuto / Sunie.scala

Last active October 24, 2016 16:56

Mocuto's Awesome Solution to Sunie's Homework, in O(2^d - 1)) complexity

	object Sunie {
	def countFrom0to(num : Int, target : Int = 7) : Int = {
	if(num < 10) {
	if (num >= target) 1 else 0
	}
	else {
	val place = logb10(num)
	val count = countFrom0to(num - (num / math.pow(10, logb10(num))).toInt * math.pow(10, logb10(num)).toInt, target)
	val leadDig = num / math.pow(10, place).toInt
	val targetFollowedByZeros = target * math.pow(10, place)