wbaek

import math
import numpy as np

class Softmax:
    def forward(self, x):
        return np.exp(x) / np.exp(x).sum()
    def backward(self, y, target):
        return y - target
    def loss(self, y, target):
        return - np.sum( np.log(y) * target )

wbaek

# -*- coding: utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')

wbaek

from django.shortcuts import render

from rest_framework import generics
from rest_framework import filters

from .models import Image, Tag
from .serializers import ImageModelSerializer, TagModelSerializer

class ImageList(generics.ListCreateAPIView):
    queryset = Image.objects.all()

wbaek

from django.shortcuts import render

from rest_framework import generics
from rest_framework import filters

from .models import Image, Tag
from .serializers import ImageModelSerializer, TagModelSerializer

class ImageList(generics.ListCreateAPIView):
    queryset = Image.objects.all()

wbaek

from django.conf.urls import url
from api import views

urlpatterns = [
    url(r'images/$', views.ImageList.as_view()),
    url(r'images/(?P<pk>[0-9a-zA-Z-]*)$', views.ImageDetail.as_view(), name='image-detail'),

    url(r'tags/$', views.TagList.as_view()),
    url(r'tags/(?P<pk>[0-9a-zA-Z-]*)$', views.TagDetail.as_view(), name='tag-detail'),
]

wbaek

from django.shortcuts import render

from rest_framework import generics

from .models import Image, Tag
from .serializers import ImageModelSerializer, TagModelSerializer

class ImageList(generics.ListCreateAPIView):
    queryset = Image.objects.all()
    serializer_class = ImageModelSerializer

wbaek

from rest_framework import serializers
from .models import Image, Tag

class _ImageModelSerializer(serializers.ModelSerializer):
    class Meta:
        model = Image

class _TagModelSerializer(serializers.ModelSerializer):
    class Meta:
        model = Tag

wbaek

from django.db import models
import uuid

class Image(models.Model):
    uuid = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
    url = models.CharField(max_length=1024)
    updated = models.DateTimeField(auto_now=True, db_index=True)
    created = models.DateTimeField(auto_now_add=True, db_index=True)

    def __str__(self):

wbaek

import theano
import sklearn.datasets
# Generate synthetic data
N_CLASSES = 3
X, y = sklearn.datasets.make_classification(n_features=2, n_redundant=0,
                                            n_classes=N_CLASSES, n_clusters_per_class=1)
# Convert to theano floatX
X = X.astype(theano.config.floatX)
# Labels should be ints
y = y.astype('int32')

wbaek

import numpy
def SR1(derivate, point, direction, step_length, Bk, epsilon=1e-6):
    sk = direction * step_length
    yk = numpy.array(derivate(point + sk)) - numpy.array(derivate(point))
    tk = sk - Bk.dot( yk )

    # check positive definite
    if abs(numpy.dot(tk, yk)) > epsilon:
        _ = numpy.matrix( tk )
        _ = _.transpose().dot( _ ) / _.dot( yk )