skyer9

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Programmer, Data Scientist.

skyer9 / klab-10-2-mnist_nn.py

Created April 22, 2017 11:02

neural network with cnn

	from __future__ import print_function

	import keras
	from keras.datasets import mnist
	from keras.models import Sequential
	from keras.layers import Dense, Dropout


	batch_size = 128
	num_classes = 10

skyer9 / hello_sequence.py

Last active March 28, 2017 01:13 — forked from pannous/hello_sequence.py

Simple "Hello World" for tensorflow seq2seq model

	# -- 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

skyer9 / classifier_from_little_data_script_3.py

Created March 1, 2017 07:48 — forked from fchollet/classifier_from_little_data_script_3.py

Fine-tuning a Keras model.

	'''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/

skyer9 / node_debian_init.sh

Created December 17, 2015 08:45 — forked from peterhost/node_debian_init.sh

Daemon init script for node.js based app/server (DEBIAN/UBUNTU)

	#!/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