trtd56

class Autoencoder(chainer.Chain):
    def __init__(self):
        super(Autoencoder, self).__init__(
                encoder = L.Linear(784, 64),
                decoder = L.Linear(64, 784))

    def __call__(self, x, hidden=False):
        h = F.relu(self.encoder(x))
        if hidden:
            return h

trtd56

def unpickle(file):
    fp = open(file, 'rb')
    if sys.version_info.major == 2:
        data = pickle.load(fp)
    elif sys.version_info.major == 3:
        data = pickle.load(fp, encoding='latin-1')                                                                                    
    fp.close()

    return data

trtd56

$ pip install gym

trtd56

import copy, sys
import numpy as np
from collections import deque

import chainer
import chainer.links as L
import chainer.functions as F
from chainer import Chain, optimizers, Variable, serializers

class Neuralnet(Chain):

trtd56

cd [whlファイルがあるディレクトリ]
pip install numpy-1.11.1+mkl-cp27-cp27m-win_amd64.whl