ktnyt

import argparse
import numpy as np
from sklearn.datasets import fetch_mldata
from chainer import Variable, FunctionSet, optimizers, cuda
import chainer.functions  as F
#import utils

parser = argparse.ArgumentParser(description='Chainer example: MNIST')
parser.add_argument('--gpu', '-g', default=-1, type=int,
                    help='GPU ID (negative value indicates CPU)')

hatoo

import math

from chainer import cuda
from chainer import function
from chainer.functions import Sigmoid
from chainer.utils import type_check

import numpy

def _as_mat(x):