Trung Lê Hoàng trungkak

How to install PhantomJS on Ubuntu

Version: 1.9.8

Platform: x86_64

First, install or update to the latest system software.

sudo apt-get update
sudo apt-get install build-essential chrpath libssl-dev libxft-dev

#A Collection of NLP notes

##N-grams

###Calculating unigram probabilities:

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

In english..

	# 1. Install CUDA
	# Preparation
	sudo apt-get update
	sudo apt-get upgrade
	sudo apt-get install tmux build-essential gcc g++ make binutils
	sudo apt-get install software-properties-common

	# Download Cuda toolkit (Nvidia driver included)
	cd ~/Downloads
	# Download CUDA 8.0 from this https://developer.nvidia.com/cuda-80-ga2-download-archive, not 9.0

	private static class Vertex {
	private int uniqueLabel;

	public Vertex(int uniqueLabel) {
	super();
	this.uniqueLabel = uniqueLabel;
	}

	@Override
	public boolean equals(Object obj) {

	"""Sequence-to-sequence model with an attention mechanism."""
	# see https://www.tensorflow.org/versions/r0.10/tutorials/seq2seq/index.html
	# compare https://github.com/tflearn/tflearn/blob/master/examples/nlp/seq2seq_example.py
	from __future__ import print_function
	import numpy as np
	import tensorflow as tf

	vocab_size=256 # We are lazy, so we avoid fency mapping and just use one class per character/byte
	target_vocab_size=vocab_size
	learning_rate=0.1

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

	$ sudo apt-get install chromium-chromedriver
	$ sudo ln -s /usr/lib/chromium-browser/chromedriver /usr/bin/chromedriver