##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
| #!/usr/bin/env python | |
| ''' | |
| Query on GoogleImageSearch and install resulted images by scraping. | |
| To use this script install mechanize and BeautifulSoup packages as | |
| easy_install mechanize | |
| easy_install Beautiful |
| """ | |
| This module implements the Lowess function for nonparametric regression. | |
| Functions: | |
| lowess Fit a smooth nonparametric regression curve to a scatterplot. | |
| For more information, see | |
| William S. Cleveland: "Robust locally weighted regression and smoothing | |
| scatterplots", Journal of the American Statistical Association, December 1979, |
| #!/bin/sh | |
| # DreamHost Dynamic DNS script for OpenWRT | |
| # by Rodrigo Damazio <rodrigo@damazio.org> | |
| # updated by Kyle Bassett <kylebassett@gmail.com> | |
| # ported by Carlo 'zED' Caputo <carlo.caputo@gmail.com> | |
| USER=carlo.caputo@gmail.com | |
| PASS=xxxxxx | |
| ACCOUNT=123456 |
