corochann corochann

## early_stopping_trigger.py
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`.

## dataset_indexer_exp.ipynb

      
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                corochann
                / dataset_indexer_exp.ipynb
            
            
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              August 25, 2017 02:09
            
              
                Chainer dataset features accessing.
              
          
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## dataset_indexer_exp.py
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

## train_mnist_schedule_lr.py
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

## train_mnist.py
#!/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
	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`.
	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
	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
	#!/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