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### 前提・実現したいこと
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エディターにVScode 言語にpython3.6.13を使って人工知能のモデルを作成しました。
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モデルを学習をするところまでできたのですが、model.save()を使って保存したところうまく保存ができません。
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解決法を教えてください。
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### 発生している問題・エラーメッセージ
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```
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call()を呼び出したときのエラー
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---------------------------------------------------------------------------
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AttributeError Traceback (most recent call last)
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<ipython-input-9-0b9011992b43> in <module>
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----> 1 call()
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<ipython-input-7-b496908ddcf6> in call()
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3 image = Image.open(name)
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4 image = image.resize((64,64))
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----> 5 model = load_model("model.h5")
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6 np_image = np.array(image)
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7 np_image = np_image / 255
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~\anaconda3\envs\karas-env\lib\site-packages\keras\engine\saving.py in load_wrapper(*args, **kwargs)
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490 os.remove(tmp_filepath)
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491 return res
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--> 492 return load_function(*args, **kwargs)
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493
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494 return load_wrapper
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~\anaconda3\envs\karas-env\lib\site-packages\keras\engine\saving.py in load_model(filepath, custom_objects, compile)
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582 if H5Dict.is_supported_type(filepath):
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583 with H5Dict(filepath, mode='r') as h5dict:
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--> 584 model = _deserialize_model(h5dict, custom_objects, compile)
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585 elif hasattr(filepath, 'write') and callable(filepath.write):
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586 def load_function(h5file):
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~\anaconda3\envs\karas-env\lib\site-packages\keras\engine\saving.py in _deserialize_model(h5dict, custom_objects, compile)
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271 if model_config is None:
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272 raise ValueError('No model found in config.')
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--> 273 model_config = json.loads(model_config.decode('utf-8'))
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274 model = model_from_config(model_config, custom_objects=custom_objects)
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275 model_weights_group = h5dict['model_weights']
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AttributeError: 'str' object has no attribute 'decode'
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```
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### 該当のソースコード
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```python
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def main():
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model = Sequential()
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model.add(Conv2D(64,(3,3),input_shape=(64,64,3)))
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model.add(Activation("relu"))
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model.add(MaxPooling2D(pool_size=(2,2)))
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model.add(Conv2D(64,(3,3)))
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model.add(Activation("relu"))
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model.add(MaxPooling2D(pool_size=(2,2)))
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model.add(Flatten())
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model.add(Dense(256))
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model.add(Activation("relu"))
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model.add(Dense(2))
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model.add(Activation("softmax"))
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model.compile(optimizer="adam",loss="categorical_crossentropy",metrics=["accuracy"])
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train_datagen = ImageDataGenerator(rescale=1./255)
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test_datagen = ImageDataGenerator(rescale=1./255)
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train_generator = train_datagen.flow_from_directory("data/train",target_size=(64,64),batch_size=10)
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validation_generator = test_datagen.flow_from_directory("data/validation",target_size=(64,64),batch_size=10)
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model.fit_generator(train_generator,epochs=20,steps_per_epoch=10,validation_data=validation_generator,validation_steps=10)
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model.save("model.h5")
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```
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```python
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def call():
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name = "data/validation/dog/images3.jpg"
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image = Image.open(name)
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image = image.resize((64,64))
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model = load_model("model.h5")
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np_image = np.array(image)
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np_image = np_image / 255
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np_image = np_image[np.newaxis, :, :, :]
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result = model.predict(np_image)
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if result[0][0] > result[0][1]:
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print("犬")
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else:
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print("猫")
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```
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### 試したこと
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model.h5が文字化けしていたのでJISやUTF-16に変更してみましたが改善されませんでした。
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### 補足情報（FW/ツールのバージョンなど）
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Windows10
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Python3.6.13
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Keras2.3.1
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VSCode Jupyternotebook
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