| """ | |
| An example to check the AUC score on a validation set for each 10 epochs. | |
| I hope it will be helpful for optimizing number of epochs. | |
| """ | |
| # -*- coding: utf-8 -*- | |
| import logging | |
| from sklearn.metrics import roc_auc_score | |
| from keras.callbacks import Callback |
This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.
ResNet Paper:
Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385
| #!/usr/bin/env python | |
| # -*- coding: UTF-8 -*- | |
| # Roughly based on: http://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration | |
| from __future__ import print_function | |
| import numpy as np | |
| from time import time |
| # If you come from bash you might have to change your $PATH. | |
| # export PATH=$HOME/bin:/usr/local/bin:$PATH | |
| # Path to your oh-my-zsh installation. | |
| export ZSH=/home/arya/.oh-my-zsh | |
| # Set name of the theme to load. Optionally, if you set this to "random" | |
| # it'll load a random theme each time that oh-my-zsh is loaded. | |
| # See https://github.com/robbyrussell/oh-my-zsh/wiki/Themes | |
| ZSH_THEME="robbyrussell" |
| import numpy as np | |
| from sklearn.datasets import make_moons | |
| from sklearn.cross_validation import train_test_split | |
| n_feature = 2 | |
| n_class = 2 | |
| def make_network(n_hidden=100): |
| sudo unshare -n <Your-Command> # run command without using ant network | |
| mhonarc -single <input mbox filename> > <output html filename> # COnvert mbox formt to html |
| [general] | |
| accounts = Outlook | |
| maxsyncaccounts = 3 | |
| [Account Outlook] | |
| localrepository = Local | |
| remoterepository = Remote | |
| maxage = 2 | |
| [Repository Local] |
| # -*- mode: conf; -*- | |
| # | |
| # NOTE: Settings generally support python interpolation. This means | |
| # values can contain python format strings which refer to other values | |
| # in the same section, or values in a special DEFAULT section. This | |
| # allows you for example to use common settings for multiple accounts: | |
| # | |
| # [Repository Gmail1] | |
| # trashfolder: %(gmailtrashfolder)s | |
| # |
| # ~/.bashrc: executed by bash(1) for non-login shells. | |
| # see /usr/share/doc/bash/examples/startup-files (in the package bash-doc) | |
| # for examples | |
| # If not running interactively, don't do anything | |
| case $- in | |
| *i*) ;; | |
| *) return;; | |
| esac |