cburgdorf

import numpy as np
from keras.models import Sequential
from keras.layers.core import Activation, Dense

training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
target_data = np.array([[0],[1],[1],[0]], "float32")

model = Sequential()
model.add(Dense(32, input_dim=2, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

azu

開発セットアップパターン

Dependencies

• Git
• https://github.com/github/hub
• https://github.com/motemen/ghq
• https://github.com/simonwhitaker/gibo
• https://github.com/blaix/license-generator
• https://github.com/azu/init-package-json-parcel

cobalamin

// This enables using all available UIViewAnimationOptions enum values as UIViewAnimationOptions in a Swifty way,
// by brute-force bridging all values with an explicit extension to UIViewKeyframeAnimationOptions.
//
// Thus, code like
// 
// let o1 : UIViewKeyframeAnimationOptions = .CalculationModeLinear
// let o2 : UIViewAnimationOptions = .CurveLinear
// let os : UIViewKeyframeAnimationOptions = [o1, UIViewKeyframeAnimationOptions(o2.rawValue)]
// 
// becomes:

cocopon

/*
 * Easing.pde - brings Robert Penner's easing functions into Processing
 * (c) 2015 cocopon.
 *
 * See the following to learn more about these famous functions:
 * http://www.robertpenner.com/easing/
 *
 * License:
 * http://www.robertpenner.com/easing_terms_of_use.html
 */

haranicle

#!/bin/sh

# settings ==========

# src file name
fileNamePrefix="ScreenShotFileNameFor5.5inch"

offsetFor3_5=20

# dest directory name

juno

MindBEMding

• MindBEMding – getting your head ’round BEM syntax – CSS Wizardry – CSS, OOCSS, front-end architecture, performance and more, by Harry Roberts
• BEM
• About HTML semantics and front-end architecture – Nicolas Gallagher

BEMとは？

• block, element, modifierの頭文字
• Yandexで発案されたフロントエンドの命名手法

y-yu

JavaScriptの継承について

全然理解出来てなかったので調べてみた。

経緯

function f () {
	// Class
}