【发布时间】:2021-04-09 11:00:30
【问题描述】:
# my save model function
# saving and reloadinng the trained model
import os
def save_model(model,suffix = None):
model_dir = os.path.join('./',datetime.datetime.now().strftime("%Y%m%d%H%M%s"))
model_path = model_dir + '-' + suffix + '.h5' # save format of the model
print('saving model to : ' + model_path + '...')
model.save(model_path)
return model_path
加载模型函数:
def load_model(model_path):
print('loading saved model from ' + model_path)
model = tf.keras.models.load_model(model_path,custom_objects = {'KerasLayer':hub.KerasLayer},compile=False)
loaded_1000_image_model.evaluate(val_data)
当我试图评估加载的模型时,它会说
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-144-1940330b6409> in <module>
----> 1 loaded_1000_image_model.evaluate(val_data)
AttributeError: 'NoneType' object has no attribute 'evaluate'
【问题讨论】:
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我投票结束这个问题,因为它是由拼写错误引起的,因此不太可能对本网站做出积极贡献。
标签: python tensorflow keras evaluate