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{ | |
"AWSTemplateFormatVersion" : "2010-09-09", | |
"Description" : "ElasticSearch Cluster.", | |
"Parameters" : { | |
"KeyName": { | |
"Description" : "The name of an existing key pair to enable SSH access to Amazon EC2 instances", | |
"Type": "String", |
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# -*- coding: utf-8 -*- | |
"""Sequence-to-sequence model with an attention mechanism.""" | |
# original code | |
# https://gist.github.com/pannous/b3f8ab944a85b33e694de21c6ded029e | |
# 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 |
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'''This script goes along the blog post | |
"Building powerful image classification models using very little data" | |
from blog.keras.io. | |
It uses data that can be downloaded at: | |
https://www.kaggle.com/c/dogs-vs-cats/data | |
In our setup, we: | |
- created a data/ folder | |
- created train/ and validation/ subfolders inside data/ |
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#!/bin/sh | |
# ------------------------------------------------------------------------------ | |
# SOME INFOS : fairly standard (debian) init script. | |
# Note that node doesn't create a PID file (hence --make-pidfile) | |
# has to be run in the background (hence --background) | |
# and NOT as root (hence --chuid) | |
# | |
# MORE INFOS : INIT SCRIPT http://www.debian.org/doc/debian-policy/ch-opersys.html#s-sysvinit | |
# INIT-INFO RULES http://wiki.debian.org/LSBInitScripts | |
# INSTALL/REMOVE http://www.debian-administration.org/articles/28 |