ktnyt

import argparse
import numpy as np
from chainer import Variable, FunctionSet, optimizers, cuda
import chainer.functions  as F
import cv2
import random
import cPickle as pickle
import sys

class ConvolutionalAutoencoder(FunctionSet):

ktnyt

class ConvolutionalAutoencoder(FunctionSet):
    def __init__(self, n_in, n_out, ksize, stride=1, pad=0, wscale=1, bias=0, nobias=False):
        super(ConvolutionalAutoencoder, self).__init__(
            encode=F.Convolution2D(n_in, n_out, ksize, stride=stride, pad=pad, wscale=wscale, bias=bias, nobias=nobias),
            decode=F.Convolution2D(n_out, n_in, ksize, stride=stride, pad=pad, wscale=wscale, bias=bias, nobias=nobias)
        )

    def forward(self, x_data, train=True):
        x = Variable(x_data)
        t = Variable(x_data)

ktnyt

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets

import brica1

# SVM Component Definition

ktnyt

import numpy as np
from chainer import Variable, FunctionSet, optimizers
import chainer.functions  as F
import data

import brica1

class SLP(FunctionSet):
    def __init__(self, n_input, n_output):
        super(SLP, self).__init__(

ktnyt

#!/usr/bin/env python
import numpy as np
from PIL import Image
import six.moves.cPickle as pickle

wnids = map(lambda x: x.strip(), open('wnids.txt').readlines())

data = {}
data['train'] = {}
data['train']['data'] = np.ndarray(shape=(100000, 3, 64, 64), dtype=np.uint8)

ktnyt

#!/bin/sh

if [ -d treasure_hunt ]
then
    rm -r treasure_hunt
fi

mkdir treasure_hunt

echo 'Aye aye mate! Welcome to the treasure hunt!' >> treasure_hunt/README

ktnyt

import numpy as np
import matplotlib.pyplot as plt

def Hadamard(n):
    def Hn(H=np.array([[1, 1], [1, -1]], dtype=np.complex64), n=n):
        if n > 1:
            return Hn(H=np.kron(np.array([[1, 1], [1, -1]], dtype=np.complex64), H), n=n-1)
        return H

    return Hn(n=n)

ktnyt

THREE.WindowCamera = function(width, height, far) {
    THREE.Camera.call(this);

    this.type = 'WindowCamera';

    this.width = width;
    this.height = height;
    this.far = far !== undefined ? far : 2000;
    this.updateProjectionMatrix();
};

ktnyt

import brica1

from CA1Component import CA1Component
from CA3Component import CA3Component
from DGComponent import DGComponent
from ECComponent import ECComponent

class HFComponent(brica1.ComponentSet):
    def __init__(self, params):
        super(HFComponent, self).__init__()

ktnyt

#BH15.15向け金沢案内 @tonetsの主観です．行ったこと無い店も含まれています．

#飲み屋 ##金沢駅周辺

• table nana
• ランタン
• オルガン
• ゆめり
• くろ屋