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使用python代码读取精度,而不是tensorboard_Python_Python 3.x_Tensorflow_Tensorflow2.0_Tensorboard - Fatal编程技术网

使用python代码读取精度,而不是tensorboard

使用python代码读取精度,而不是tensorboard,python,python-3.x,tensorflow,tensorflow2.0,tensorboard,Python,Python 3.x,Tensorflow,Tensorflow2.0,Tensorboard,我使用的是Tensorflow 2.2 我已将每个历元的准确度写入事件中,以供tensorboard读取。通过python可以获取事件文件信息吗?如果是,是否有任何代码示例?在Keras中,当您培训您的模型时,您将获得如下所示的代码。您可以获得训练精度、训练损失、验证精度和验证损失,如代码所示 results = model.fit_generator(generator = generators[0], validation_data= generators[2],

我使用的是Tensorflow 2.2


我已将每个历元的准确度写入事件中,以供tensorboard读取。通过python可以获取事件文件信息吗?如果是,是否有任何代码示例?

在Keras中,当您培训您的模型时,您将获得如下所示的代码。您可以获得训练精度、训练损失、验证精度和验证损失,如代码所示

results = model.fit_generator(generator = generators[0], validation_data= generators[2], 
                               epochs=epochs, initial_epoch=start_epoch,
                               callbacks = callbacks, verbose=1)
acc=results.history['accuracy']
loss=results.history['loss']
vacc =results.history['val_accuracy']
vloss=results.history['val_loss']

each is a list containing the data for each epoch