corochann

from chainer import reporter
from chainer.training import util


class EarlyStoppingTrigger(object):

    """Early stopping trigger
    
    It observes the value specified by `key`, and invoke a trigger only when 
    observing value satisfies the `stop_condition`.

corochann

corochann

import numpy as np
import chainer
from chainer.datasets import TupleDataset

train, test = chainer.datasets.get_mnist()

# 1. Extract data easily without explicitly call concat_examples
imgs, labels = train.ix[:, :]
#imgs, labels = train.ix[:]  # same

corochann

from __future__ import print_function
import argparse

import chainer
import chainer.functions as F
import chainer.links as L
from chainer import training
from chainer.optimizers import MomentumSGD, Adam
from chainer.training import extensions, Trainer
from chainer import serializers

corochann

#!/usr/bin/env python
from __future__ import print_function
import argparse

import numpy as np
import matplotlib.pyplot as plt

import chainer
import chainer.functions as F
import chainer.links as L