In [41]:
import tensorflow as tf
In [42]:
from numpy.random import RandomState
In [43]:
batch_size=8
In [44]:
interactive_sesssion=tf.InteractiveSession()
In [45]:
x=tf.placeholder(tf.float32,shape=(None,2),name='x-input')
In [46]:
y_=tf.placeholder(tf.float32,shape=(None,1),name='y-input')
In [47]:
w1=tf.Variable(tf.random_normal([2,1],stddev=1,seed=1))
In [48]:
y=tf.matmul(x,w1)
In [49]:
loss_less=10
In [50]:
loss_more=1
In [51]:
loss_=tf.where(tf.greater(y,y_),
(y-y_)*loss_more,
(y_-y)*loss_less)
In [52]:
loss=tf.reduce_sum(loss_)
In [53]:
train_step=tf.train.AdamOptimizer(0.001).minimize(loss)
In [54]:
rdm=RandomState(1)
In [55]:
dataset=128
In [56]:
X=rdm.rand(dataset,2)
In [57]:
Y=[[x1 + x2 + rdm.rand()/10.0+0.5] for (x1,x2) in X]
In [58]:
init_op=tf.initialize_all_variables()
WARNING:tensorflow:From <ipython-input-58-beca12014393>:1: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
In [59]:
interactive_sesssion.run(init_op)
In [60]:
for i in range(300):
start=(i*batch_size)%dataset
end=min(start+batch_size,dataset)
interactive_sesssion.run(train_step,feed_dict={x:X[start:end],y_:Y[start:end]})
print(interactive_sesssion.run(w1))
#print(interactive_sesssion.run(loss))
[[-0.81031823]
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[[-0.77016038]
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[[-0.76821136]
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[[-0.75852698]
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[[-0.75753897]
[ 1.53911853]]
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[[-0.74094182]
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[[-0.73894447]
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[[-0.73796856]
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[[-0.73699856]
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[[-0.73599321]
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[[-0.7350108]
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[[-0.73402077]
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[[-0.73303747]
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[[-0.73209953]
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[[-0.73117465]
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[[-0.72140014]
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[[-0.72039431]
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[[-0.71941191]
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[[-0.71842176]
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[[-0.71743846]
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[[-0.71650124]
[ 1.58044708]]
[[-0.71557748]
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[[-0.71462351]
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[[-0.71368301]
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[[-0.7127108 ]
[ 1.58438563]]
[[-0.71172959]
[ 1.58536601]]
[[-0.71074188]
[ 1.58635449]]
[[-0.70974791]
[ 1.58733785]]
[[-0.70873803]
[ 1.58829057]]
[[-0.70774966]
[ 1.58924258]]
[[-0.70677429]
[ 1.59020078]]
[[-0.70580512]
[ 1.59114051]]
[[-0.70479888]
[ 1.59210026]]
[[-0.70381641]
[ 1.59306765]]
[[-0.70282608]
[ 1.59406078]]
[[-0.70184278]
[ 1.59506023]]
[[-0.7009061 ]
[ 1.59605515]]
[[-0.69998306]
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[[-0.69902951]
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[[-0.69808966]
[ 1.59902906]]
[[-0.69711763]
[ 1.59998894]]
[[-0.69613653]
[ 1.60096872]]
[[-0.6951493 ]
[ 1.60193586]]
[[-0.69415569]
[ 1.60290027]]
[[-0.69314587]
[ 1.60383582]]
[[-0.6921578 ]
[ 1.60477257]]
[[-0.69118285]
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[[-0.69021416]
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[[-0.6843937 ]
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[[-0.68344051]
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[[-0.6825012 ]
[ 1.61448336]]
[[-0.6815294 ]
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[[-0.68054843]
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[[-0.67956126]
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[[-0.67856765]
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[[-0.67755765]
[ 1.61928046]]
[[-0.67656958]
[ 1.62021613]]
[[-0.67559475]
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[[-0.67462623]
[ 1.62208712]]
[[-0.67361975]
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[[-0.67263746]
[ 1.62399483]]
[[-0.67164713]
[ 1.62498116]]
[[-0.67066395]
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[[-0.6697281 ]
[ 1.62696588]]
[[-0.66880625]
[ 1.62796211]]
[[-0.6678533 ]
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[[-0.66691434]
[ 1.62993217]]
[[-0.66594267]
[ 1.63089025]]
[[-0.66496176]
[ 1.63186932]]
[[-0.66397458]
[ 1.63283598]]
[[-0.66298097]
[ 1.63380039]]
[[-0.66197079]
[ 1.6347357 ]]
[[-0.66098267]
[ 1.63567257]]
[[-0.66000789]
[ 1.63661802]]
[[-0.65903956]
[ 1.63754618]]
[[-0.65803289]
[ 1.63849676]]
[[-0.65705061]
[ 1.63945675]]
[[-0.65606022]
[ 1.64044487]]
[[-0.65507704]
[ 1.64144075]]
[[-0.65414143]
[ 1.64243317]]
[[-0.65321988]
[ 1.64343119]]
[[-0.6522671 ]
[ 1.64443564]]
[[-0.65132844]
[ 1.64540493]]
[[-0.65035683]
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[[-0.64937598]
[ 1.64734554]]
[[-0.6483888]
[ 1.648314 ]]
[[-0.64739513]
[ 1.64928007]]
[[-0.64638484]
[ 1.65021694]]
[[-0.64539671]
[ 1.65115523]]
[[-0.64442199]
[ 1.65210211]]
[[-0.64345378]
[ 1.65303159]]
[[-0.64244694]
[ 1.65398359]]
[[-0.64146459]
[ 1.65494502]]
[[-0.64047414]
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[[-0.63949096]
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[[-0.63855553]
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[[-0.62297231]
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[[-0.62016159]
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[[-0.61722291]
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[[-0.61622936]
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[[-0.615219 ]
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[[-0.61423099]
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[[-0.61325651]
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[[-0.61128157]
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[[-0.61029989]
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[[-0.60930997]
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[[-0.60832733]
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[[-0.60739267]
[ 1.68871677]]
[[-0.60647231]
[ 1.68970311]]
[[-0.60552031]
[ 1.69069779]]
[[-0.60458255]
[ 1.69165838]]
[[-0.60361141]
[ 1.69261062]]
[[-0.60263091]
[ 1.69358575]]
[[-0.60164404]
[ 1.69454932]]
[[-0.60065049]
[ 1.69551158]]
[[-0.59964001]
[ 1.69644499]]
[[-0.59865201]
[ 1.69738066]]
[[-0.59767759]
[ 1.69832575]]
[[-0.59670973]
[ 1.6992538 ]]
[[-0.59570265]
[ 1.70020533]]
[[-0.59472096]
[ 1.70114422]]
[[-0.59373099]
[ 1.70211482]]
[[-0.59274828]
[ 1.70309603]]
[[-0.59181374]
[ 1.70407593]]
[[-0.59089357]
[ 1.70506382]]
[[-0.58994162]
[ 1.70606005]]
[[-0.58900404]
[ 1.70702207]]
[[-0.5880329 ]
[ 1.70797575]]
[[-0.5870524 ]
[ 1.70895243]]
[[-0.58606547]
[ 1.70991743]]
[[-0.58507192]
[ 1.71088111]]
[[-0.58406138]
[ 1.71181583]]
[[-0.58307332]
[ 1.71275294]]
[[-0.5820989 ]
[ 1.71369946]]
[[-0.58113104]
[ 1.71462882]]
[[-0.5801239 ]
[ 1.71558177]]
[[-0.57914221]
[ 1.7165221 ]]
[[-0.57815218]
[ 1.71749425]]
[[-0.57716948]
[ 1.71847713]]
[[-0.576235 ]
[ 1.7194587]]
[[-0.57531494]
[ 1.72044814]]
[[-0.57436305]
[ 1.72144604]]
[[-0.57342553]
[ 1.72240949]]
[[-0.57245445]
[ 1.72336459]]
[[-0.57147396]
[ 1.72434282]]
[[-0.57048702]
[ 1.72530937]]
[[-0.56949341]
[ 1.72627461]]
[[-0.56848276]
[ 1.72721076]]
[[-0.56749672]
[ 1.72812569]]
[[-0.56652415]
[ 1.72905254]]
[[-0.56555802]
[ 1.72996438]]
[[-0.56455225]
[ 1.73090184]]
[[-0.56357181]
[ 1.73182833]]
[[-0.56258297]
[ 1.73278844]]
[[-0.56160128]
[ 1.73376071]]
[[-0.56066781]
[ 1.73473299]]
[[-0.55974871]
[ 1.73571432]]
[[-0.55879766]
[ 1.73670518]]
[[-0.55786091]
[ 1.73766243]]
[[-0.55689043]
[ 1.73861217]]
[[-0.55591047]
[ 1.73958576]]
[[-0.55492401]
[ 1.74054837]]
[[-0.55393082]
[ 1.74151015]]
[[-0.55292046]
[ 1.74244332]]
[[-0.55193472]
[ 1.74335563]]
[[-0.55096245]
[ 1.74428034]]
[[-0.54999655]
[ 1.74519038]]
[[-0.54899096]
[ 1.74612653]]
[[-0.54801071]
[ 1.74705195]]
[[-0.54702199]
[ 1.74801147]]
[[-0.54604042]
[ 1.74898338]]
[[-0.54510713]
[ 1.74995553]]
[[-0.54418826]
[ 1.75093699]]
[[-0.54323733]
[ 1.75192821]]
[[-0.54230076]
[ 1.75288582]]
[[-0.54133034]
[ 1.75383604]]
[[-0.54035038]
[ 1.75481045]]
[[-0.53936392]
[ 1.7557739 ]]
[[-0.53837073]
[ 1.75673664]]
[[-0.53736037]
[ 1.75767076]]
[[-0.53637463]
[ 1.75858402]]
[[-0.53540242]
[ 1.7595098 ]]
[[-0.53443658]
[ 1.7604208 ]]
[[-0.53343087]
[ 1.76135814]]
[[-0.53245062]
[ 1.76228476]]
[[-0.53146183]
[ 1.76324558]]
[[-0.53048027]
[ 1.76421893]]
[[-0.52954704]
[ 1.76519251]]
[[-0.52862823]
[ 1.76617551]]
[[-0.5276773]
[ 1.7671684]]
[[-0.52674079]
[ 1.76812756]]
[[-0.52577037]
[ 1.76907921]]
[[-0.52479041]
[ 1.77005517]]
[[-0.52380389]
[ 1.77102017]]
[[-0.52281064]
[ 1.77198446]]
[[-0.52180016]
[ 1.77292001]]
[[-0.52081436]
[ 1.77383471]]
[[-0.51984209]
[ 1.77476192]]
[[-0.51887625]
[ 1.77567434]]
In [ ]:
Content source: xianjunzhengbackup/code
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