#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
from paddle.trainer_config_helpers import *

settings(batch_size=100, learning_method=AdamOptimizer())

din = data_layer(name='input', size=784)

fc1 = fc_layer(name='hidden1', input=din, size=100)
fc2 = fc_layer(name='hidden2', input=fc1, size=100)

opt = fc_layer(input=fc2, size=10, act=SoftmaxActivation())
outputs(classification_cost(input=opt, label=data_layer('lbl', 10)))