hailiang-wang

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

hailiang-wang

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#===============================================================================
#
# Copyright (c) 2017 <> All Rights Reserved
#
#
# File: /Users/hain/tmp/ltp_parser.py
# Author: Hai Liang Wang
# Date: 2018-04-12:18:49:38

hailiang-wang

layout	title	excerpt	category	tags	disqus
post	深度学习：调节网络超参数	在训练前，需要先规划超级参数，比如batch size, etc.	development	deeplearning	true

使用神经网络完成分类，物体识别，序列化标注，问答，生成式对话、翻译、摘要已成为标准手段，在训练神经网络时，一个很难的地方是怎么调试网络的超参数，超参数影响了网络的收敛速度，也影响最终的结果。

hailiang-wang

"""A simple implementation of a greedy transition-based parser. Released under BSD license."""
from os import path
import os
import sys
from collections import defaultdict
import random
import time
import pickle

SHIFT = 0; RIGHT = 1; LEFT = 2;

hailiang-wang

mahout clusterdump \
  -dt sequencefile \                            # format: {Integer => String}
  -d reuters-vectors/dictionary.file-* \        # dictionary: {id => word}
  -i reuters-kmeans-clusters/clusters-3-final \  # input
  -o clusters.txt \                             # output (local filesystem)
  -b 10 \                                       # format length
  -n 10                                         # number of top terms to print
  --distanceMeasure org.apache.mahout.common.distance.CosineDistanceMeasure # default is euclidean distance

hailiang-wang

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
        xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>dataproj.maven</groupId>
    <artifactId>running-lucene-with-maven</artifactId>
    <packaging>war</packaging>
    <version>0.1</version>
    <profiles>
        <!-- Add profile configuration here -->
    </profiles>

hailiang-wang

If:

- you add and commit with the wrong email address in git, and
- your remote has a hook set up to prevent you from pushing with the bad address

Then you need to amend the author of your commit before push can succeed:

1. fix your email address in git config:

$ git config user.name "Your Name"

hailiang-wang

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#===============================================================================
#
# Copyright 2017 Hai Liang Wang <hailiang.hl.wang@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#

hailiang-wang

# -*- coding: utf-8 -*-
# Python3
# 维特比算法
# demo code of https://zh.wikipedia.org/wiki/%E7%BB%B4%E7%89%B9%E6%AF%94%E7%AE%97%E6%B3%95

states = ('Healthy', 'Fever')
 
observations = ('normal', 'cold', 'dizzy')
 
start_probability = {'Healthy': 0.6, 'Fever': 0.4}

hailiang-wang

#A Collection of NLP notes

##N-grams

###Calculating unigram probabilities:

P( w_i ) = count ( w_i ) ) / count ( total number of words )

In english..