TypeError: fit_generator()获得意外的关键字参数“samples_per_epoch”
TypeError: fit_generator()获得意外的关键字参数“samples_per_epoch”
提问于 2021-10-01 11:35:43
我尝试使用此git代码库https://github.com/priya-dwivedi/Deep-Learning/blob/master/parking_spots_detector/CNN_model_for_occupancy.ipynb执行以下代码，然后运行此代码，得到以下错误
### Start training!
history_object = model_final.fit_generator(
train_generator,
samples_per_epoch = nb_train_samples,
epochs = epochs,
validation_data = validation_generator,
nb_val_samples = nb_validation_samples,
callbacks = [checkpoint, early])```
**Error**
TypeError Traceback (most recent call last)
<ipython-input-8-c39f4720b624> in <module>
1 ### Start training!
----> 2 history_object = model_final.fit_generator(
3 train_generator,
4 samples_per_epoch = nb_train_samples,
5 epochs = epochs,
TypeError: fit_generator() got an unexpected keyword argument 'samples_per_epoch'回答 1
Stack Overflow用户
发布于 2021-10-01 16:07:26
使用steps_per_epoch而不是samples_per_epoch。
history_object = model_final.fit_generator(
train_generator,
steps_per_epoch = nb_train_samples, # Changed line
epochs = epochs,
validation_data = validation_generator,
nb_val_samples = nb_validation_samples,
callbacks = [checkpoint, early])页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/69405239
复制相关文章
相似问题
腾讯云开发者
