model.fit(True)
时间: 2024-03-11 12:25:00 浏览: 25
model.fit(True)是错误的写法,因为fit()函数的参数x和y都不能设置为布尔类型的值。根据引用中的说明,x和y分别代表输入数据和目标数据,通常是Numpy数组或Pandas DataFrame的形式。如果你想训练模型,需要提供正确的输入数据和目标数据。另外,fit()函数还有其他参数需要设置,如batch_size和epochs等,这些参数可以根据具体需求进行设置。所以,正确的写法应该是model.fit(x_train, y_train)或者根据具体需求设置其他参数。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [在keras中model.fit_generator()和model.fit()的区别说明](https://download.csdn.net/download/weixin_38724229/13709809)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [tf.keras.Model之model.fit](https://blog.csdn.net/qq_19069557/article/details/127857268)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [keras model.fit 解决validation_spilt=num 的问题](https://download.csdn.net/download/weixin_38552083/14908659)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
[ .reference_list ]