start new:
tmux
start new with session name:
tmux new -s myname
- name: Install Conda | |
block: | |
- name: Download Miniconda | |
get_url: | |
url: https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh | |
dest: /tmp/install-miniconda.sh | |
checksum: md5:a946ea1d0c4a642ddf0c3a26a18bb16d | |
mode: 0550 | |
- name: Create conda folder |
<html> | |
<head> | |
<meta name="viewport" content="width=device-width, initial-scale=1"> | |
<link rel="shortcut icon" href="http://goo.gl/PkEcge" type="image/x-icon"> | |
<title>Fin Plan</title> | |
<script src="https://code.highcharts.com/highcharts.js"></script> | |
<script src="https://unpkg.com/axios/dist/axios.min.js"></script> | |
<style> | |
body { |
<html> | |
<head> | |
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script> | |
<style> | |
.tables-wrapper { display: flex; flex-direction: row; margin: 15px; } | |
.table-column { display: flex; flex-direction: column; } | |
.table-input-false { width: 80px; border: 0; height: 20px; padding: 0; background-color: inherit; } | |
.table-input-true { width: 40px; border: 0; height: 20px; padding: 0; background-color: inherit; } | |
.table-input-true:nth-child(even) { border-left: 1px solid lightgray; } | |
.side-tables { margin-top: 4px; } |
""" | |
Example TensorFlow script for finetuning a VGG model on your own data. | |
Uses tf.contrib.data module which is in release v1.2 | |
Based on PyTorch example from Justin Johnson | |
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
Required packages: tensorflow (v1.2) | |
Download the weights trained on ImageNet for VGG: | |
``` | |
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |
# install wine 1.7 | |
add-apt-repository ppa:ubuntu-wine/ppa | |
sudo apt-get update | |
sudo apt-get install wine1.7 | |
# download steam | |
curl -o ~/Downloads/SteamSetup.exe http://media.steampowered.com/client/installer/SteamSetup.exe | |
# install some tricks | |
winetricks vcrun2010 |