jkang jaekookang

## JSON2CSV.js
// Sample: download json as excel file (BOM + utf-16le encoding)
// reference:
// https://gist.github.com/maciejjankowski/2db91642fb9eaa771111f2c0538e4560
//
<script>
function JSON2CSV(objArray) {
    var array = typeof objArray != 'object' ? JSON.parse(objArray) : objArray;
    var str = '';
    var line = '';
    // header

## mnist_tfdata.py
"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf   # only work from tensorflow==1.9.0-rc1 and after

_EPOCHS      = 5
_NUM_CLASSES = 10
_BATCH_SIZE  = 128

def training_pipeline():
  # #############
  # Load Dataset

## .Monotonic cubic splines with draggable Plotly points
Nothing here, just a Gist hack to display the title correctly on Gist.
(Prefix the title of this file with a dot on Gist.)

## install_ffmpeg.sh
brew options ffmpeg

brew install ffmpeg \
--with-chromaprint \
--with-fdk-aac \
--with-fontconfig \
--with-freetype \
--with-frei0r \
--with-game-music-emu \
--with-libass \

## dash_css.css
/* Table of contents
––––––––––––––––––––––––––––––––––––––––––––––––––
- Plotly.js
- Grid
- Base Styles
- Typography
- Links
- Buttons
- Forms
- Lists

## make-sounds.html
<!DOCTYPE html>
<html>
<head><title>SOUND</title></head>
<body>
<div>Frequence: <span id="frequency"></span></div>
<script type="text/javascript">

var audioCtx = new (window.AudioContext || window.webkitAudioContext)();
var oscillatorNode = audioCtx.createOscillator();
var gainNode = audioCtx.createGain();

## ctc_decoder.py
"""
Author: Awni Hannun

This is an example CTC decoder written in Python. The code is
intended to be a simple example and is not designed to be
especially efficient.

The algorithm is a prefix beam search for a model trained
with the CTC loss function.

## jekyll-pdf-embed
---
title: "Creation of a Landscape: The Logic or Urbanization in the PRC"
description: NYU East Asian Studies Department, MA Thesis Defense
date: 2013-11-01
layout: pdf
categories: writing
permalink: /writing/creation-of-a-landscape/
---

<iframe src="https://docs.google.com/file/d/0B8aGkJVsdqiJamVpUnJ1TDlFbFU/preview" width="100%" height="100%"></iframe>

## demo.py
import numpy as np
import tensorflow as tf
from keras.callbacks import TensorBoard
from keras.layers import Input, Dense
from keras.models import Model


def write_log(callback, names, logs, batch_no):
    for name, value in zip(names, logs):
        summary = tf.Summary()

## live_loss_plot_keras.ipynb

      
              1 file
            
          
              30 forks
            
          
              22 comments
            
          
              140 stars
            
          
                stared
                / live_loss_plot_keras.ipynb
            
            
              Last active
              February 25, 2023 10:20
            
              
                Live loss plot for training models in Keras (see: https://github.com/stared/livelossplot/ for a library)
              
          
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	// Sample: download json as excel file (BOM + utf-16le encoding)
	// reference:
	// https://gist.github.com/maciejjankowski/2db91642fb9eaa771111f2c0538e4560
	//
	<script>
	function JSON2CSV(objArray) {
	var array = typeof objArray != 'object' ? JSON.parse(objArray) : objArray;
	var str = '';
	var line = '';
	// header
	"""An example of how to use tf.Dataset in Keras Model"""
	import tensorflow as tf # only work from tensorflow==1.9.0-rc1 and after

	_EPOCHS = 5
	_NUM_CLASSES = 10
	_BATCH_SIZE = 128

	def training_pipeline():
	# #############
	# Load Dataset
	Nothing here, just a Gist hack to display the title correctly on Gist.
	(Prefix the title of this file with a dot on Gist.)
	brew options ffmpeg

	brew install ffmpeg \
	--with-chromaprint \
	--with-fdk-aac \
	--with-fontconfig \
	--with-freetype \
	--with-frei0r \
	--with-game-music-emu \
	--with-libass \
	/* Table of contents
	––––––––––––––––––––––––––––––––––––––––––––––––––
	- Plotly.js
	- Grid
	- Base Styles
	- Typography
	- Links
	- Buttons
	- Forms
	- Lists
	<!DOCTYPE html>
	<html>
	<head><title>SOUND</title></head>
	<body>
	<div>Frequence: <span id="frequency"></span></div>
	<script type="text/javascript">

	var audioCtx = new (window.AudioContext \|\| window.webkitAudioContext)();
	var oscillatorNode = audioCtx.createOscillator();
	var gainNode = audioCtx.createGain();
	"""
	Author: Awni Hannun

	This is an example CTC decoder written in Python. The code is
	intended to be a simple example and is not designed to be
	especially efficient.

	The algorithm is a prefix beam search for a model trained
	with the CTC loss function.
	---
	title: "Creation of a Landscape: The Logic or Urbanization in the PRC"
	description: NYU East Asian Studies Department, MA Thesis Defense
	date: 2013-11-01
	layout: pdf
	categories: writing
	permalink: /writing/creation-of-a-landscape/
	---

	<iframe src="https://docs.google.com/file/d/0B8aGkJVsdqiJamVpUnJ1TDlFbFU/preview" width="100%" height="100%"></iframe>
	import numpy as np
	import tensorflow as tf
	from keras.callbacks import TensorBoard
	from keras.layers import Input, Dense
	from keras.models import Model


	def write_log(callback, names, logs, batch_no):
	for name, value in zip(names, logs):
	summary = tf.Summary()