Question

我正在使用命令'model.save（“ name_of_model”）'将Keras模型保存在Python脚本中。它可以在我的固定PC（Windows）上完美运行。但不在Azure中（Microsoft Machine Learning / Windows / JupyterLab）。

我收到很长的错误消息（见下文）。

怎么了？

到目前为止，我的代码非常简单：

import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout
from tensorflow import keras

def create_model():
    model = Sequential()
    model.add(Dense(128, input_shape=(4,), activation="relu"))
    model.add(Dropout(0.6))
    model.add(Dense(256, activation="relu"))
    model.add(Dropout(0.6))
    model.add(Dense(512, activation="relu"))
    model.add(Dropout(0.6))
    model.add(Dense(256, activation="relu"))
    model.add(Dropout(0.6))
    model.add(Dense(128, activation="relu"))
    model.add(Dropout(0.6))
    model.add(Dense(2, activation="softmax"))

    model.compile(
        loss="categorical_crossentropy",
        optimizer="adam",
        metrics=["accuracy"])
    return model

trainingX = np.loadtxt("TraindataX.csv")
trainingY = np.loadtxt("TraindataY.csv")
model = create_model()
model.fit(trainingX, trainingY, epochs=1)
model.save("my_testmodel")

错误消息：

**--------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-1-1a17397cf7f6> in <module>
     36 
     37 model.fit(trainingX, trainingY, epochs=1)
---> 38 model.save("my_testmodel3.h5")

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/keras/engine/network.py in save(self, filepath, overwrite, include_optimizer)
   1150             raise NotImplementedError
   1151         from ..models import save_model
-> 1152         save_model(self, filepath, overwrite, include_optimizer)
   1153 
   1154     @saving.allow_write_to_gcs

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/keras/engine/saving.py in save_wrapper(obj, filepath, overwrite, *args, **kwargs)
    447                 os.remove(tmp_filepath)
    448         else:
--> 449             save_function(obj, filepath, overwrite, *args, **kwargs)
    450 
    451     return save_wrapper

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/keras/engine/saving.py in save_model(model, filepath, overwrite, include_optimizer)
    539                 return
    540         with H5Dict(filepath, mode='w') as h5dict:
--> 541             _serialize_model(model, h5dict, include_optimizer)
    542     elif hasattr(filepath, 'write') and callable(filepath.write):
    543         # write as binary stream

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/keras/engine/saving.py in _serialize_model(model, h5dict, include_optimizer)
    159         layer_group['weight_names'] = weight_names
    160         for name, val in zip(weight_names, weight_values):
--> 161             layer_group[name] = val
    162     if include_optimizer and model.optimizer:
    163         if isinstance(model.optimizer, optimizers.TFOptimizer):

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/keras/utils/io_utils.py in __setitem__(self, attr, val)
    231                            'Group with name "{}" exists.'.format(attr))
    232         if is_np:
--> 233             dataset = self.data.create_dataset(attr, val.shape, dtype=val.dtype)
    234             if not val.shape:
    235                 # scalar

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/h5py/_hl/group.py in create_dataset(self, name, shape, dtype, data, **kwds)
    141             group = self
    142             if name:
--> 143                 if '/' in name:
    144                     h5objects = [obj for obj in name.split('/') if len(obj)]
    145                     name = h5objects[-1]

TypeError: a bytes-like object is required, not 'str'**

Keras model.save（）在Azure / JupyterLab中不起作用

0 个答案: