naotokui

# coding: utf8

## based on this article: http://qiita.com/mokemokechicken/items/937a82cfdc31e9a6ca12

import numpy as np
from keras.models import Sequential
from keras.engine.topology import Input, Container
from keras.engine.training import Model
from keras.layers.core import Dense

Orbifold

bstriner

from keras.optimizers import Adam
from keras import backend as K
from keras.datasets import mnist
from keras.utils.np_utils import to_categorical
from keras.metrics import categorical_accuracy
from keras.initializations import glorot_uniform, zero
import numpy as np

# inputs and targets are placeholders
input_dim = 28*28

akdh

Test your service

See https://github.com/akdh/cst-tools for JSON schemas.

Assuming your service callback URL is http://127.0.0.1:5002/suggestions, you can make a request to your service and ensure that it is valid using the following commands:

curl -H "Content-Type: application/json" --data @request.json -XPOST http://127.0.0.1:5002/suggestions > response.json
python validate.py data.json 192

No errors should be produced.