kuu(Fumiya Kume) fumiya-kume

## build.sh
bin/gn gen out/release \
          --args="is_official_build=true \
              skia_use_libjpeg_turbo_decode=false \
              skia_use_libjpeg_turbo_encode=false \
              extra_cflags_cc=[\"-frtti\"] \
              skia_use_system_libwebp = false \
              skia_use_system_harfbuzz = false \
              skia_use_system_libpng = false \
              is_component_build = false \
          "

## display diff image
magick compare -fuzz 5% image1.png image2.png -compose src result.png

## wav analyzer
public class WavAnalyzer
        {
            public string riffId;
            public uint fileSize;
            public string wavId;
            public string formatId;
            // フォーマットのチャンク数
            public uint formatChunkSize;
            public ushort format;
            // チャネル数

## NeuralNetwork.py
import numpy as np

# 3 layer neural network
class ThreeLayerNetwork:
    def sigmoid(self,x):
        return 1.0 / (1.0 + np.exp(-np.clip(x, -self.sigmoid_range, self.sigmoid_range)))

    def derivative_sigmoid(self,o):
        return o * (1.0 - o)


## なやは
さは

## ななや
ややや

## ファイル名
content

## うえーい
わいわい

## ghh
hhh

## です
ね
	bin/gn gen out/release \
	--args="is_official_build=true \
	skia_use_libjpeg_turbo_decode=false \
	skia_use_libjpeg_turbo_encode=false \
	extra_cflags_cc=[\"-frtti\"] \
	skia_use_system_libwebp = false \
	skia_use_system_harfbuzz = false \
	skia_use_system_libpng = false \
	is_component_build = false \
	"
	public class WavAnalyzer
	{
	public string riffId;
	public uint fileSize;
	public string wavId;
	public string formatId;
	// フォーマットのチャンク数
	public uint formatChunkSize;
	public ushort format;
	// チャネル数
	import numpy as np

	# 3 layer neural network
	class ThreeLayerNetwork:
	def sigmoid(self,x):
	return 1.0 / (1.0 + np.exp(-np.clip(x, -self.sigmoid_range, self.sigmoid_range)))

	def derivative_sigmoid(self,o):
	return o * (1.0 - o)