#Anaconda 3.X上安装Keras

pip install keras #后面提示theano缺少g++，性能下降的Warning，暂未解决

#选择Keras理由：python，开源

#bing搜出一篇Keras入门，有实例入门程序，跑通无问题

程序如下：

# -*- coding: utf-8 -*-

"""

Created on Wed Aug 17 10:30:40 2016

@author: Administrator

"""

from keras.models import Sequential

from keras.layers import Dense

import numpy

# fix random seed for reproducibility

seed = 7

numpy.random.seed(seed)

# load pima indians dataset

dataset = numpy.loadtxt("pima-indians-diabetes.csv", delimiter=",")

# split into input (X) and output (Y) variables

X = dataset[:,0:8]

Y = dataset[:,8]

# create model

model = Sequential()

model.add(Dense(12, input_dim=8, init='uniform', activation='relu'))

model.add(Dense(8, init='uniform', activation='relu'))

model.add(Dense(1, init='uniform', activation='sigmoid'))

# Compile model

model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

# Fit the model

model.fit(X, Y, nb_epoch=150, batch_size=10)

# evaluate the model

scores = model.evaluate(X, Y)

print("%s: %.2f%%" % (model.metrics_names[1], scores[1]*100))