入坑tensorflow

  1 (D:\Users\song\Anaconda3) C:\SPB_Data>python --version
  2 Python 3.6.0 :: Anaconda 4.3.1 (64-bit)
  3 
  4 (D:\Users\song\Anaconda3) C:\SPB_Data>pip -V
  5 pip 9.0.1 from D:\Users\song\Anaconda3\lib\site-packages (python 3.6)
  6 
  7 (D:\Users\song\Anaconda3) C:\SPB_Data>pip3 install --upgrade tensorflow-gpu
  8 ‘pip3‘ 不是内部或外部命令，也不是可运行的程序
  9 或批处理文件。
 10 
 11 (D:\Users\song\Anaconda3) C:\SPB_Data>pip install --upgrade tensorflow-gpu
 12 Collecting tensorflow-gpu
 13   Downloading tensorflow_gpu-1.3.0-cp36-cp36m-win_amd64.whl (60.0MB)
 14     100% |████████████████████████████████| 60.0MB 16kB/s
 15 Collecting numpy>=1.11.0 (from tensorflow-gpu)
 16   Downloading numpy-1.13.3-cp36-none-win_amd64.whl (13.1MB)
 17     100% |████████████████████████████████| 13.1MB 73kB/s
 18 Collecting protobuf>=3.3.0 (from tensorflow-gpu)
 19   Downloading protobuf-3.4.0-py2.py3-none-any.whl (375kB)
 20     100% |████████████████████████████████| 378kB 667kB/s
 21 Collecting wheel>=0.26 (from tensorflow-gpu)
 22   Downloading wheel-0.30.0-py2.py3-none-any.whl (49kB)
 23     100% |████████████████████████████████| 51kB 371kB/s
 24 Collecting tensorflow-tensorboard<0.2.0,>=0.1.0 (from tensorflow-gpu)
 25   Downloading tensorflow_tensorboard-0.1.8-py3-none-any.whl (1.6MB)
 26     100% |████████████████████████████████| 1.6MB 413kB/s
 27 Collecting six>=1.10.0 (from tensorflow-gpu)
 28   Downloading six-1.11.0-py2.py3-none-any.whl
 29 Collecting setuptools (from protobuf>=3.3.0->tensorflow-gpu)
 30   Downloading setuptools-36.6.0-py2.py3-none-any.whl (481kB)
 31     100% |████████████████████████████████| 481kB 734kB/s
 32 Collecting bleach==1.5.0 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu)
 33   Downloading bleach-1.5.0-py2.py3-none-any.whl
 34 Collecting werkzeug>=0.11.10 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu)
 35   Downloading Werkzeug-0.12.2-py2.py3-none-any.whl (312kB)
 36     100% |████████████████████████████████| 317kB 1.7MB/s
 37 Collecting html5lib==0.9999999 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu)
 38   Downloading html5lib-0.9999999.tar.gz (889kB)
 39     100% |████████████████████████████████| 890kB 502kB/s
 40 Collecting markdown>=2.6.8 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow-gpu)
 41   Downloading Markdown-2.6.9.tar.gz (271kB)
 42     100% |████████████████████████████████| 276kB 687kB/s
 43 Building wheels for collected packages: html5lib, markdown
 44   Running setup.py bdist_wheel for html5lib ... done
 45   Stored in directory: C:\Users\song\AppData\Local\pip\Cache\wheels\6f\85\6c\56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
 46   Running setup.py bdist_wheel for markdown ... done
 47   Stored in directory: C:\Users\song\AppData\Local\pip\Cache\wheels\bf\46\10\c93e17ae86ae3b3a919c7b39dad3b5ccf09aeb066419e5c1e5
 48 Successfully built html5lib markdown
 49 Installing collected packages: numpy, setuptools, six, protobuf, wheel, html5lib, bleach, werkzeug, markdown, tensorflow-tensorboard, tensorflow-gpu
 50   Found existing installation: numpy 1.11.3
 51     Uninstalling numpy-1.11.3:
 52       Successfully uninstalled numpy-1.11.3
 53   Found existing installation: setuptools 27.2.0
 54     Uninstalling setuptools-27.2.0:
 55       Successfully uninstalled setuptools-27.2.0
 56   Found existing installation: six 1.10.0
 57     DEPRECATION: Uninstalling a distutils installed project (six) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
 58     Uninstalling six-1.10.0:
 59       Successfully uninstalled six-1.10.0
 60   Found existing installation: wheel 0.29.0
 61     Uninstalling wheel-0.29.0:
 62       Successfully uninstalled wheel-0.29.0
 63   Found existing installation: Werkzeug 0.11.15
 64     Uninstalling Werkzeug-0.11.15:
 65       Successfully uninstalled Werkzeug-0.11.15
 66 Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.9 numpy-1.13.3 protobuf-3.4.0 setuptools-36.6.0 six-1.11.0 tensorflow-gpu-1.3.0 tensorflow-tensorboard-0.1.8 werkzeug-0.12.2 wheel-0.30.0
 67 Traceback (most recent call last):
 68   File "D:\Users\song\Anaconda3\Scripts\pip-script.py", line 5, in <module>
 69     sys.exit(pip.main())
 70   File "D:\Users\song\Anaconda3\lib\site-packages\pip\__init__.py", line 249, in main
 71     return command.main(cmd_args)
 72   File "D:\Users\song\Anaconda3\lib\site-packages\pip\basecommand.py", line 252, in main
 73     pip_version_check(session)
 74   File "D:\Users\song\Anaconda3\lib\site-packages\pip\utils\outdated.py", line 102, in pip_version_check
 75     installed_version = get_installed_version("pip")
 76   File "D:\Users\song\Anaconda3\lib\site-packages\pip\utils\__init__.py", line 838, in get_installed_version
 77     working_set = pkg_resources.WorkingSet()
 78   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 644, in __init__
 79     self.add_entry(entry)
 80   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 700, in add_entry
 81     for dist in find_distributions(entry, True):
 82   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1949, in find_eggs_in_zip
 83     if metadata.has_metadata(‘PKG-INFO‘):
 84   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1463, in has_metadata
 85     return self.egg_info and self._has(self._fn(self.egg_info, name))
 86   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1823, in _has
 87     return zip_path in self.zipinfo or zip_path in self._index()
 88   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1703, in zipinfo
 89     return self._zip_manifests.load(self.loader.archive)
 90   File "D:\Users\song\Anaconda3\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1643, in load
 91     mtime = os.stat(path).st_mtime
 92 FileNotFoundError: [WinError 2] 系统找不到指定的文件。: ‘D:\\Users\\song\\Anaconda3\\lib\\site-packages\\setuptools-27.2.0-py3.6.egg‘
 93 
 94 (D:\Users\song\Anaconda3) C:\SPB_Data>cd ..
 95 
 96 (D:\Users\song\Anaconda3) C:\>cd ..
 97 
 98 (D:\Users\song\Anaconda3) C:\>ls
 99 ‘ls‘ 不是内部或外部命令，也不是可运行的程序
100 或批处理文件。
101 
102 (D:\Users\song\Anaconda3) C:\>python --version
103 Python 3.6.0 :: Anaconda 4.3.1 (64-bit)
104 
105 (D:\Users\song\Anaconda3) C:\>nvcc -V
106 ‘nvcc‘ 不是内部或外部命令，也不是可运行的程序
107 或批处理文件。
108 
109 (D:\Users\song\Anaconda3) C:\>pip install --upgrade tensorflow
110 Collecting tensorflow
111   Downloading tensorflow-1.3.0-cp36-cp36m-win_amd64.whl (25.5MB)
112     100% |████████████████████████████████| 25.5MB 29kB/s
113 Requirement already up-to-date: protobuf>=3.3.0 in d:\users\song\anaconda3\lib\site-packages (from tensorflow)
114 Requirement already up-to-date: wheel>=0.26 in d:\users\song\anaconda3\lib\site-packages (from tensorflow)
115 Requirement already up-to-date: tensorflow-tensorboard<0.2.0,>=0.1.0 in d:\users\song\anaconda3\lib\site-packages (from tensorflow)
116 Requirement already up-to-date: six>=1.10.0 in d:\users\song\anaconda3\lib\site-packages (from tensorflow)
117 Requirement already up-to-date: numpy>=1.11.0 in d:\users\song\anaconda3\lib\site-packages (from tensorflow)
118 Requirement already up-to-date: setuptools in d:\users\song\anaconda3\lib\site-packages (from protobuf>=3.3.0->tensorflow)
119 Requirement already up-to-date: markdown>=2.6.8 in d:\users\song\anaconda3\lib\site-packages (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
120 Requirement already up-to-date: bleach==1.5.0 in d:\users\song\anaconda3\lib\site-packages (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
121 Requirement already up-to-date: html5lib==0.9999999 in d:\users\song\anaconda3\lib\site-packages (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
122 Requirement already up-to-date: werkzeug>=0.11.10 in d:\users\song\anaconda3\lib\site-packages (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
123 Installing collected packages: tensorflow
124 Successfully installed tensorflow-1.3.0
125 
126 (D:\Users\song\Anaconda3) C:\>import tensorflow as tf
127 ‘import‘ 不是内部或外部命令，也不是可运行的程序
128 或批处理文件。
129 
130 (D:\Users\song\Anaconda3) C:\>python
131 Python 3.6.0 |Anaconda 4.3.1 (64-bit)| (default, Dec 23 2016, 11:57:41) [MSC v.1900 64 bit (AMD64)] on win32
132 Type "help", "copyright", "credits" or "license" for more information.
133 >>> import tensorflow as tf
134 >>> a = tf.random_normal((100,100))
135 >>> b = tf.random_normal((100,500))
136 >>> c=tf.matmul(a,b)
137 >>> sess=tf.InteractiveSession()
138 2017-10-29 20:46:03.615036: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn‘t compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
139 2017-10-29 20:46:03.620666: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn‘t compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
140 >>> sess.run(c)
141 array([[ -2.01546478e+01,  -1.21840429e+01,   8.52634966e-01, ...,
142          -1.93460350e+01,  -1.17136412e+01,  -2.81856956e+01],
143        [ -2.86180496e+00,   1.86777287e+01,   2.39728212e-01, ...,
144           1.65606441e+01,  -8.35585117e+00,   1.21092701e+01],
145        [ -6.70668936e+00,  -1.92020512e+00,  -8.63678837e+00, ...,
146           1.19851971e+01,  -1.95774388e+00,  -3.46706104e+00],
147        ...,
148        [ -6.20419502e+00,  -1.58898029e+01,   1.47155542e+01, ...,
149          -6.35781908e+00,  -7.09256840e+00,   1.04180880e+01],
150        [ -1.14867371e-03,  -2.47349381e+00,   1.40450490e+00, ...,
151           1.87805653e+00,   7.70393276e+00,  -1.11452806e+00],
152        [ -1.81114292e+01,   2.83652916e+01,   2.23067703e+01, ...,
153           4.72095060e+00,   2.01743245e+00,   9.46466255e+00]], dtype=float32)
154 >>> c
155 <tf.Tensor ‘MatMul:0‘ shape=(100, 500) dtype=float32>
156 >>> print(c)
157 Tensor("MatMul:0", shape=(100, 500), dtype=float32)
158 >>> print(c.val)
159 Traceback (most recent call last):
160   File "<stdin>", line 1, in <module>
161 AttributeError: ‘Tensor‘ object has no attribute ‘val‘
162 >>> print(c.eval())
163 [[  7.44645548e+00   7.01777339e-01  -3.29522681e+00 ...,  -4.11035490e+00
164     6.88585615e+00  -1.03243275e+01]
165  [  1.74935007e+00  -8.06512642e+00  -8.94767094e+00 ...,  -8.51691341e+00
166    -6.86603403e+00   9.46757889e+00]
167  [ -6.61030436e+00   5.86357307e+00   1.51259956e+01 ...,  -9.53737926e+00
168     1.95381641e-02   1.16717541e+00]
169  ...,
170  [ -5.34449625e+00   1.13798809e+00   1.34737101e+01 ...,   6.86746025e+00
171     3.37234330e+00  -9.16017354e-01]
172  [ -3.89829564e+00   1.19947767e+00   9.16424465e+00 ...,   7.61591375e-01
173    -1.70225441e-01   1.02892227e+01]
174  [  1.97680518e-01  -1.99925423e+01  -9.40755844e+00 ...,   5.44214249e+00
175     1.52138865e+00   2.48984170e+00]]
176 >>> print(a)
177 Tensor("random_normal:0", shape=(100, 100), dtype=float32)
178 >>> sess=tf.InteractiveSession()
179 >>> print(sess.run(a))
180 [[-1.394485   -1.95048952  0.76553309 ..., -0.43924141 -1.21975422
181    0.60572529]
182  [ 0.34292024  0.86016667 -2.25437665 ...,  1.67957187  1.57846153
183   -1.53106809]
184  [ 0.08453497  0.59995687 -1.37805259 ..., -0.92989731 -0.07856822
185   -1.36062932]
186  ...,
187  [-0.41187105  0.60689414 -0.44695681 ...,  0.51408201 -1.49676847
188    0.95741159]
189  [-1.01903558 -1.24220276  0.12283699 ...,  0.53144586 -0.2782338
190    0.34964591]
191  [ 0.27783027  0.5017578  -1.0619179  ...,  0.4974283  -0.04771407
192    0.48028085]]
193 >>> ls
194 Traceback (most recent call last):
195   File "<stdin>", line 1, in <module>
196 NameError: name ‘ls‘ is not defined
197 >>> exit()
198 
199 (D:\Users\song\Anaconda3) C:\>e:200 ‘e:\‘ 不是内部或外部命令，也不是可运行的程序
201 或批处理文件。
202 
203 (D:\Users\song\Anaconda3) C:\>cd e:204 
205 (D:\Users\song\Anaconda3) C:\>python minst.py
206   File "minst.py", line 16
207 SyntaxError: Non-UTF-8 code starting with ‘\xb0‘ in file minst.py on line 16, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details
208 
209 (D:\Users\song\Anaconda3) C:\>python minst.py
210   File "minst.py", line 16
211 SyntaxError: Non-UTF-8 code starting with ‘\xb0‘ in file minst.py on line 16, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details
212 
213 (D:\Users\song\Anaconda3) C:\>python minst.py
214   File "minst.py", line 16
215 SyntaxError: Non-UTF-8 code starting with ‘\xb0‘ in file minst.py on line 16, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details
216 
217 (D:\Users\song\Anaconda3) C:\>python
218 Python 3.6.0 |Anaconda 4.3.1 (64-bit)| (default, Dec 23 2016, 11:57:41) [MSC v.1900 64 bit (AMD64)] on win32
219 Type "help", "copyright", "credits" or "license" for more information.
220 >>> import tensorflow as tf
221 >>> flags = tf.app.flags
222 >>> FLAGS = flags.FLAGS
223 >>> flags.DEFINE_string(‘data_dir‘, ‘/tmp/data/‘, ‘Directory for storing data‘)
224 >>>
225 >>> mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True)
226 Traceback (most recent call last):
227   File "<stdin>", line 1, in <module>
228 NameError: name ‘input_data‘ is not defined
229 >>> from __future__ import absolute_import
230 >>> from __future__ import division
231 >>> from __future__ import print_function
232 >>> from tensorflow.examples.tutorials.mnist import input_data
233 >>>
234 >>> mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True)
235 Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
236 Extracting /tmp/data/train-images-idx3-ubyte.gz
237 Traceback (most recent call last):
238   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 1318, in do_open
239     encode_chunked=req.has_header(‘Transfer-encoding‘))
240   File "D:\Users\song\Anaconda3\lib\http\client.py", line 1239, in request
241     self._send_request(method, url, body, headers, encode_chunked)
242   File "D:\Users\song\Anaconda3\lib\http\client.py", line 1285, in _send_request
243     self.endheaders(body, encode_chunked=encode_chunked)
244   File "D:\Users\song\Anaconda3\lib\http\client.py", line 1234, in endheaders
245     self._send_output(message_body, encode_chunked=encode_chunked)
246   File "D:\Users\song\Anaconda3\lib\http\client.py", line 1026, in _send_output
247     self.send(msg)
248   File "D:\Users\song\Anaconda3\lib\http\client.py", line 964, in send
249     self.connect()
250   File "D:\Users\song\Anaconda3\lib\http\client.py", line 1400, in connect
251     server_hostname=server_hostname)
252   File "D:\Users\song\Anaconda3\lib\ssl.py", line 401, in wrap_socket
253     _context=self, _session=session)
254   File "D:\Users\song\Anaconda3\lib\ssl.py", line 808, in __init__
255     self.do_handshake()
256   File "D:\Users\song\Anaconda3\lib\ssl.py", line 1061, in do_handshake
257     self._sslobj.do_handshake()
258   File "D:\Users\song\Anaconda3\lib\ssl.py", line 683, in do_handshake
259     self._sslobj.do_handshake()
260 ssl.SSLEOFError: EOF occurred in violation of protocol (_ssl.c:749)
261 
262 During handling of the above exception, another exception occurred:
263 
264 Traceback (most recent call last):
265   File "<stdin>", line 1, in <module>
266   File "D:\Users\song\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\mnist.py", line 240, in read_data_sets
267     SOURCE_URL + TRAIN_LABELS)
268   File "D:\Users\song\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py", line 208, in maybe_download
269     temp_file_name, _ = urlretrieve_with_retry(source_url)
270   File "D:\Users\song\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py", line 165, in wrapped_fn
271     return fn(*args, **kwargs)
272   File "D:\Users\song\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py", line 190, in urlretrieve_with_retry
273     return urllib.request.urlretrieve(url, filename)
274   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 248, in urlretrieve
275     with contextlib.closing(urlopen(url, data)) as fp:
276   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 223, in urlopen
277     return opener.open(url, data, timeout)
278   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 526, in open
279     response = self._open(req, data)
280   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 544, in _open
281     ‘_open‘, req)
282   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 504, in _call_chain
283     result = func(*args)
284   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 1361, in https_open
285     context=self._context, check_hostname=self._check_hostname)
286   File "D:\Users\song\Anaconda3\lib\urllib\request.py", line 1320, in do_open
287     raise URLError(err)
288 urllib.error.URLError: <urlopen error EOF occurred in violation of protocol (_ssl.c:749)>
289 >>> import requests
290 >>> >>> from requests.adapters import HTTPAdapter
291   File "<stdin>", line 1
292     >>> from requests.adapters import HTTPAdapter
293      ^
294 SyntaxError: invalid syntax
295 >>> >>> from requests.packages.urllib3.poolmanager import PoolManager
296   File "<stdin>", line 1
297     >>> from requests.packages.urllib3.poolmanager import PoolManager
298      ^
299 SyntaxError: invalid syntax
300 >>> >>> import ssl
301   File "<stdin>", line 1
302     >>> import ssl
303      ^
304 SyntaxError: invalid syntax
305 >>> >>>
306   File "<stdin>", line 1
307     >>>
308      ^
309 SyntaxError: invalid syntax
310 >>> >>> class MyAdapter(HTTPAdapter):
311   File "<stdin>", line 1
312     >>> class MyAdapter(HTTPAdapter):
313      ^
314 SyntaxError: invalid syntax
315 >>> ...     def init_poolmanager(self, connections, maxsize, block=False):
316   File "<stdin>", line 1
317     ...     def init_poolmanager(self, connections, maxsize, block=False):
318               ^
319 SyntaxError: invalid syntax
320 >>> ...         self.poolmanager = PoolManager(num_pools=connections,
321   File "<stdin>", line 1
322     ...         self.poolmanager = PoolManager(num_pools=connections,
323                    ^
324 SyntaxError: invalid syntax
325 >>> ...                                        maxsize=maxsize,
326   File "<stdin>", line 1
327     ...                                        maxsize=maxsize,
328                                                      ^
329 SyntaxError: invalid syntax
330 >>> ...                                        block=block,
331   File "<stdin>", line 1
332     ...                                        block=block,
333                                                    ^
334 SyntaxError: invalid syntax
335 >>> ...                                        ssl_version=ssl.PROTOCOL_TLSv1)
336   File "<stdin>", line 1
337     ...                                        ssl_version=ssl.PROTOCOL_TLSv1)
338                                                          ^
339 SyntaxError: invalid syntax
340 >>> ...
341 Ellipsis
342 >>> >>> s = requests.Session()
343   File "<stdin>", line 1
344     >>> s = requests.Session()
345      ^
346 SyntaxError: invalid syntax
347 >>> >>> s.mount(‘https://‘, MyAdapter())
348   File "<stdin>", line 1
349     >>> s.mount(‘https://‘, MyAdapter())
350      ^
351 SyntaxError: invalid syntax
352 >>> >>> s.get(‘https://www.supercash.cz‘)
353   File "<stdin>", line 1
354     >>> s.get(‘https://www.supercash.cz‘)
355      ^
356 SyntaxError: invalid syntax
357 >>> <Response [200]>
358   File "<stdin>", line 1
359     <Response [200]>
360     ^
361 SyntaxError: invalid syntax
362 >>> mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=True)
363 Extracting /tmp/data/train-images-idx3-ubyte.gz
364 Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
365 Extracting /tmp/data/train-labels-idx1-ubyte.gz
366 Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
367 Extracting /tmp/data/t10k-images-idx3-ubyte.gz
368 Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
369 Extracting /tmp/data/t10k-labels-idx1-ubyte.gz
370 >>> x = tf.placeholder(tf.float32, [None, 784]) # 占位符
371 >>> y = tf.placeholder(tf.float32, [None, 10])
372 >>> W = tf.Variable(tf.zeros([784, 10]))
373 >>> b = tf.Variable(tf.zeros([10]))
374 >>> a = tf.nn.softmax(tf.matmul(x, W) + b)
375 >>> cross_entropy = tf.reduce_mean(-tf.reduce_sum(y * tf.log(a), reduction_indices=[1]))  # 损失函数为交叉熵
376 >>> optimizer = tf.train.GradientDescentOptimizer(0.5) # 梯度下降法，学习速率为0.5
377 >>> train = optimizer.minimize(cross_entropy) # 训练目标：最小化损失函数
378 >>>
379 >>> # Test trained model
380 ... correct_prediction = tf.equal(tf.argmax(a, 1), tf.argmax(y, 1))
381 >>> accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
382 >>> correct_prediction = tf.equal(tf.argmax(a, 1), tf.argmax(y, 1))
383 >>> accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
384 >>> sess = tf.InteractiveSession()      # 建立交互式会话
385 2017-10-29 21:28:03.960497: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn‘t compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
386 2017-10-29 21:28:03.968465: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn‘t compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
387 >>> tf.initialize_all_variables().run()
388 WARNING:tensorflow:From D:\Users\song\Anaconda3\lib\site-packages\tensorflow\python\util\tf_should_use.py:175: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
389 Instructions for updating:
390 Use `tf.global_variables_initializer` instead.
391 >>> for i in range(1000):
392 ...     batch_xs, batch_ys = mnist.train.next_batch(100)
393 ...     train.run({x: batch_xs, y: batch_ys})
394 ... print(sess.run(accuracy,feed_dict={x:mnist.test.images,y:mnist.test.labels}))
395   File "<stdin>", line 4
396     print(sess.run(accuracy,feed_dict={x:mnist.test.images,y:mnist.test.labels}))
397         ^
398 SyntaxError: invalid syntax
399 >>> tf.initialize_all_variables().run()
400 WARNING:tensorflow:From D:\Users\song\Anaconda3\lib\site-packages\tensorflow\python\util\tf_should_use.py:175: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
401 Instructions for updating:
402 Use `tf.global_variables_initializer` instead.
403 >>> tf.global_variables_initializer().run()
404 >>> for i in range(1000):
405 ...     batch_xs, batch_ys = mnist.train.next_batch(100)
406 ...     train.run({x: batch_xs, y: batch_ys})
407 ...
408 >>> print(sess.run(accuracy,feed_dict={x:mnist.test.images,y:mnist.test.labels}))
409 0.9154
410 >>>