As configured in my dotfiles.
start new:
tmux
start new with session name:
As configured in my dotfiles.
start new:
tmux
start new with session name:
set-option -g status-position top | |
# Toggle mouse on with ^B m | |
bind m \ | |
set -g mode-mouse on \;\ | |
set -g mouse-resize-pane on \;\ | |
set -g mouse-select-pane on \;\ | |
set -g mouse-select-window on \;\ | |
display 'Mouse: ON' | |
# Toggle mouse off with ^B M |
Machine Learning | |
=== |
<h1 id="welcome-to-stackedit">Welcome to StackEdit!</h1> | |
<p>Hey! I’m your first Markdown document in <strong>StackEdit</strong><a href="#fn:stackedit" id="fnref:stackedit" title="See footnote" class="footnote">1</a>. Don’t delete me, I’m very helpful! I can be recovered anyway in the <strong>Utils</strong> tab of the <i class="icon-cog"></i> <strong>Settings</strong> dialog.</p> | |
<hr> | |
<h2 id="documents">Documents</h2> |
"Hello.",0,0,0,0,0,0,0,0,0,0 | |
"Hello.",0,0,0,0,0,0,0,0,0,0 | |
"Is this Marico?",0,0,0,0,0,0,0,0,0,0 | |
"Marie.",0,0,0,0,0,0,0,0,0,0 | |
"Hi, Marie. How are you? I'm Sandra. I'll be your teacher today.",0,0,0,0,0,0,0,0,0,0 | |
"I'm Marie. I'm fine.",1,1,0,0,0,0,0,0,0,0 | |
"Marie, this is our first class together. Can you see me?",0,0,0,0,0,0,0,0,0,0 | |
"Yes.",0,0,0,0,0,0,0,0,0,0 | |
"You can hear me quite well?",0,0,0,0,0,0,0,0,0,0 | |
"Yes.",0,0,0,0,0,0,0,0,0,0 |
/* | |
Name: Tomorrow Night - Eighties | |
Author: Chris Kempson | |
CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror) | |
Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16) | |
*/ |
# MPL Plot | |
# A simple demo of using matplotlib in Pythonista. | |
import console | |
console.clear() | |
print 'Generating plot... (this may take a little while)' | |
import numpy | |
import matplotlib.pyplot as plt | |
import math |
''' | |
Build a tweet sentiment analyzer | |
''' | |
import theano | |
import theano.tensor as tensor | |
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams | |
import cPickle as pkl | |
import numpy | |
import copy |
protected void init(int[] shape) { | |
ensureNotCleanedUp(); | |
this.shape = shape; | |
if (this.shape.length == 1) { | |
rows = 1; | |
columns = this.shape[0]; | |
} else if (this.shape().length == 2) { | |
rows = shape[0]; |
learn: function(r1) { | |
// perform an update on Q function | |
if(!(this.r0 == null) && this.alpha > 0) { | |
// learn from this tuple to get a sense of how "surprising" it is to the agent | |
var tderror = this.learnFromTuple(this.s0, this.a0, this.r0, this.s1, this.a1); | |
this.tderror = tderror; // a measure of surprise | |
// decide if we should keep this experience in the replay | |
if(this.t % this.experience_add_every === 0) { |