我是keras的新手，为了入门，我试图按照这个教程进行操作。我使用的是theano后端。不幸的是，我在这一行就遇到了困难：
model.add(Dense(num_pixels, input_dim=num_pixels, init='normal', activation='relu'))它显示：
UserWarning: 更新您的
Dense调用至 Keras 2 API:Dense(784, input_dim=784, activation="relu", kernel_initializer="normal")‘` 调用至 Keras 2 API: ‘ + signature)INFO (theano.gof.compilelock): 正在刷新锁 […]
同时也抛出了一个错误：ImportError: DLL 加载失败：动态链接库 (DLL) 初始化例程失败。
我做错了什么？任何建议都非常受欢迎 😀
这是完整的错误跟踪（部分为德语）：
---------------------------------------------------------------------------ImportError Traceback (most recent call last)<ipython-input-59-12b29e43ecfe> in <module>()----> 1 model = baseline_model() 2 3 model.fit(x_train, y_train, validation_data=(x_test, y_test), nb_epoch=10, batch_size=200, verbose=2) 4 5 scores = model.evaluate(x_test, y_test, verbose=0)<ipython-input-57-16bc1d352f3b> in baseline_model() 2 model = Sequential() #RNN? 3 #InputLayer----> 4 model.add(Dense(num_pixels, input_dim=num_pixels, init='normal', activation='relu')) 5 #OutputLayer 6 model.add(Dense(num_classes, init='normal', activation='softmax'))C:\ProgramData\Anaconda3\lib\site-packages\keras\models.py in add(self, layer) 420 # and create the node connecting the current layer 421 # to the input layer we just created.--> 422 layer(x) 423 424 if len(layer.inbound_nodes) != 1:C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py in __call__(self, inputs, **kwargs) 526 '`layer.build(batch_input_shape)`') 527 if len(input_shapes) == 1:--> 528 self.build(input_shapes[0]) 529 else: 530 self.build(input_shapes)C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\core.py in build(self, input_shape) 825 name='kernel', 826 regularizer=self.kernel_regularizer,--> 827 constraint=self.kernel_constraint) 828 if self.use_bias: 829 self.bias = self.add_weight((self.units,),C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py in add_weight(self, shape, initializer, name, trainable, regularizer, constraint) 362 """ 363 initializer = initializers.get(initializer)--> 364 weight = K.variable(initializer(shape), dtype=K.floatx(), name=name) 365 if regularizer is not None: 366 self.add_loss(regularizer(weight))C:\ProgramData\Anaconda3\lib\site-packages\keras\initializers.py in __call__(self, shape, dtype) 71 def __call__(self, shape, dtype=None): 72 return K.random_normal(shape, self.mean, self.stddev,---> 73 dtype=dtype, seed=self.seed) 74 75 def get_config(self):C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\theano_backend.py in random_normal(shape, mean, stddev, dtype, seed) 1935 seed = np.random.randint(1, 10e6) 1936 rng = RandomStreams(seed=seed)-> 1937 return rng.normal(size=shape, avg=mean, std=stddev, dtype=dtype) 1938 1939 C:\ProgramData\Anaconda3\lib\site-packages\theano\sandbox\rng_mrg.py in normal(self, size, avg, std, ndim, dtype, nstreams) 1572 n_samples = prod(size) + (prod(size) % 2) 1573 flattened = self.uniform(size=(n_samples,), dtype=dtype,-> 1574 nstreams=nstreams) 1575 1576 if constant:C:\ProgramData\Anaconda3\lib\site-packages\theano\sandbox\rng_mrg.py in uniform(self, size, low, high, ndim, dtype, nstreams) 1352 if nstreams is None: 1353 nstreams = self.n_streams(size)-> 1354 rstates = self.get_substream_rstates(nstreams, dtype) 1355 1356 if self.use_cuda and dtype == 'float32':C:\ProgramData\Anaconda3\lib\site-packages\theano\configparser.py in res(*args, **kwargs) 115 def res(*args, **kwargs): 116 with self:--> 117 return f(*args, **kwargs) 118 return res 119 C:\ProgramData\Anaconda3\lib\site-packages\theano\sandbox\rng_mrg.py in get_substream_rstates(self, n_streams, dtype, inc_rstate) 1254 # If multMatVect.dot_modulo isn't compiled, compile it. 1255 if multMatVect.dot_modulo is None:-> 1256 multMatVect(rval[0], A1p72, M1, A2p72, M2) 1257 1258 # This way of calling the Theano fct is done to bypass Theano overhead.C:\ProgramData\Anaconda3\lib\site-packages\theano\sandbox\rng_mrg.py in multMatVect(v, A, m1, B, m2) 64 o = DotModulo()(A_sym, s_sym, m_sym, A2_sym, s2_sym, m2_sym) 65 multMatVect.dot_modulo = function(---> 66 [A_sym, s_sym, m_sym, A2_sym, s2_sym, m2_sym], o, profile=False) 67 68 # This way of calling the Theano fct is done to bypass Theano overhead.C:\ProgramData\Anaconda3\lib\site-packages\theano\compile\function.py in function(inputs, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input) 324 on_unused_input=on_unused_input, 325 profile=profile,--> 326 output_keys=output_keys) 327 # We need to add the flag check_aliased inputs if we have any mutable or 328 # borrowed used defined inputsC:\ProgramData\Anaconda3\lib\site-packages\theano\compile\pfunc.py in pfunc(params, outputs, mode, updates, givens, no_default_updates, accept_inplace, name, rebuild_strict, allow_input_downcast, profile, on_unused_input, output_keys) 484 accept_inplace=accept_inplace, name=name, 485 profile=profile, on_unused_input=on_unused_input,--> 486 output_keys=output_keys) 487 488 C:\ProgramData\Anaconda3\lib\site-packages\theano\compile\function_module.py in orig_function(inputs, outputs, mode, accept_inplace, name, profile, on_unused_input, output_keys) 1794 on_unused_input=on_unused_input, 1795 output_keys=output_keys).create(-> 1796 defaults) 1797 1798 t2 = time.time()C:\ProgramData\Anaconda3\lib\site-packages\theano\compile\function_module.py in create(self, input_storage, trustme, storage_map) 1660 theano.config.traceback.limit = theano.config.traceback.compile_limit 1661 _fn, _i, _o = self.linker.make_thunk(-> 1662 input_storage=input_storage_lists, storage_map=storage_map) 1663 finally: 1664 theano.config.traceback.limit = limit_origC:\ProgramData\Anaconda3\lib\site-packages\theano\gof\link.py in make_thunk(self, input_storage, output_storage, storage_map) 697 return self.make_all(input_storage=input_storage, 698 output_storage=output_storage,--> 699 storage_map=storage_map)[:3] 700 701 def make_all(self, input_storage, output_storage):C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\vm.py in make_all(self, profiler, input_storage, output_storage, storage_map) 1045 compute_map, 1046 no_recycling,-> 1047 impl=impl)) 1048 linker_make_thunk_time[node] = time.time() - thunk_start 1049 if not hasattr(thunks[-1], 'lazy'):C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\op.py in make_thunk(self, node, storage_map, compute_map, no_recycling, impl) 933 try: 934 return self.make_c_thunk(node, storage_map, compute_map,--> 935 no_recycling) 936 except (NotImplementedError, utils.MethodNotDefined): 937 # We requested the c code, so don't catch the error.C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\op.py in make_c_thunk(self, node, storage_map, compute_map, no_recycling) 837 _logger.debug('Trying CLinker.make_thunk') 838 outputs = cl.make_thunk(input_storage=node_input_storage,--> 839 output_storage=node_output_storage) 840 fill_storage, node_input_filters, node_output_filters = outputs 841 C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cc.py in make_thunk(self, input_storage, output_storage, storage_map, keep_lock) 1188 cthunk, in_storage, out_storage, error_storage = self.__compile__( 1189 input_storage, output_storage, storage_map,-> 1190 keep_lock=keep_lock) 1191 1192 res = _CThunk(cthunk, init_tasks, tasks, error_storage)C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cc.py in __compile__(self, input_storage, output_storage, storage_map, keep_lock) 1129 output_storage, 1130 storage_map,-> 1131 keep_lock=keep_lock) 1132 return (thunk, 1133 [link.Container(input, storage) for input, storage inC:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cc.py in cthunk_factory(self, error_storage, in_storage, out_storage, storage_map, keep_lock) 1584 node.op.prepare_node(node, storage_map, None, 'c') 1585 module = get_module_cache().module_from_key(-> 1586 key=key, lnk=self, keep_lock=keep_lock) 1587 1588 vars = self.inputs + self.outputs + self.orphansC:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cmodule.py in module_from_key(self, key, lnk, keep_lock) 1157 try: 1158 location = dlimport_workdir(self.dirname)-> 1159 module = lnk.compile_cmodule(location) 1160 name = module.__file__ 1161 assert name.startswith(location)C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cc.py in compile_cmodule(self, location) 1487 lib_dirs=self.lib_dirs(), 1488 libs=libs,-> 1489 preargs=preargs) 1490 except Exception as e: 1491 e.args += (str(self.fgraph),)C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cmodule.py in compile_str(module_name, src_code, location, include_dirs, lib_dirs, libs, preargs, py_module, hide_symbols) 2345 open(os.path.join(location, "__init__.py"), 'w').close() 2346 assert os.path.isfile(lib_filename)-> 2347 return dlimport(lib_filename) 2348 2349 C:\ProgramData\Anaconda3\lib\site-packages\theano\gof\cmodule.py in dlimport(fullpath, suffix) 300 warnings.filterwarnings("ignore", 301 message="numpy.ndarray size changed")--> 302 rval = __import__(module_name, {}, {}, [module_name]) 303 t1 = time.time() 304 import_time += t1 - t0ImportError: DLL load failed: Eine DLL-Initialisierungsroutine ist fehlgeschlagen.回答：
我通过简单地重新安装解决了这个问题。可能是之前的安装出了什么问题。对于Windows用户，我强烈推荐这个教程：http://efavdb.com/gpu-accelerated-theano-keras-with-windows-10/
