DeepakLabh

"""
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

DeepakLabh

ResNet-152 in Keras

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

DeepakLabh

#!/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

DeepakLabh

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):

DeepakLabh

# -*- 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
#