王嘉楠 lan2720

Tensorboard Embedding Projector can load external data from gist.

tensorPath: numerical data without column name, in bytes or tsv format
metadataPath: labels or field columns. If it's just 1 column, assume it to be label and don't need the first line.

More details from announcment, how-to,

注意：本文内容适用于 Tmux 2.3 及以上的版本，但是绝大部分的特性低版本也都适用，鼠标支持、VI 模式、插件管理在低版本可能会与本文不兼容。

Tmux 快捷键 & 速查表 & 简明教程

启动新会话：

tmux [new -s 会话名 -n 窗口名]

恢复会话：

Python script to convert mysqldump output to JSON file. Most of the code was borrowed from github.com/jamesmishra/mysqldump-to-csv

You'll want to update the 'parse_row' function to map each item in a row to a dictionary.

	import tensorflow as tf
	import numpy as np


	class TextCNN(object):
	"""
	A CNN for text classification.
	Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer.
	"""
	def __init__(

	#Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/
	import numpy as np
	import random
	from random import shuffle
	import tensorflow as tf

	# from tensorflow.models.rnn import rnn_cell
	# from tensorflow.models.rnn import rnn

	NUM_EXAMPLES = 10000

	# Working example for my blog post at:
	# http://danijar.com/variable-sequence-lengths-in-tensorflow/
	import functools
	import sets
	import tensorflow as tf
	from tensorflow.models.rnn import rnn_cell
	from tensorflow.models.rnn import rnn


	def lazy_property(function):

	# pylint: disable=C0111,too-many-arguments,too-many-instance-attributes,too-many-locals,redefined-outer-name,fixme
	# pylint: disable=superfluous-parens, no-member, invalid-name
	import sys
	sys.path.insert(0, "../../python")
	import mxnet as mx
	import numpy as np
	import cv2, random

	from io import BytesIO
	from captcha.image import ImageCaptcha

	# Working example for my blog post at:
	# https://danijar.github.io/structuring-your-tensorflow-models
	import functools
	import tensorflow as tf
	from tensorflow.examples.tutorials.mnist import input_data


	def doublewrap(function):
	"""
	A decorator decorator, allowing to use the decorator to be used without

	#!/usr/bin/env python
	# Ander Martinez Sanchez

	from __future__ import division, print_function
	from math import exp, log
	from collections import Counter


	def ngram_count(words, n):
	if n <= len(words):