Python jupyter控制台中显示的公制值与Tensorboard显示的值不匹配
我正在使用Keras进行培训,并使用Tensorboard工具来可视化培训过程。为此,我有以下代码:Python jupyter控制台中显示的公制值与Tensorboard显示的值不匹配,python,tensorflow,keras,jupyter,tensorboard,Python,Tensorflow,Keras,Jupyter,Tensorboard,我正在使用Keras进行培训,并使用Tensorboard工具来可视化培训过程。为此,我有以下代码: #TENSORBOARD tensorboard_callback = keras.callbacks.TensorBoard( log_dir=log_dir,histogram_freq=0,write_graph=False, write_images=False,update_freq=5) #TASA DE APRENDIZAJE def scheduler(epo
#TENSORBOARD
tensorboard_callback = keras.callbacks.TensorBoard(
log_dir=log_dir,histogram_freq=0,write_graph=False,
write_images=False,update_freq=5)
#TASA DE APRENDIZAJE
def scheduler(epoch,lr):
initial_lrate = lr
drop = 0.5
epochs_drop = 10.0
lrate = initial_lrate * math.pow(drop,
math.floor((1+epoch)/epochs_drop))
return lrate
learning_rate=keras.callbacks.LearningRateScheduler(scheduler)
#SAVE WEIGHTS EVERY EPOCH
filepath = "saved-model-{epoch:02d}-{val_loss:.2f}.hdf5"
checkpoint = ModelCheckpoint(filepath, monitor='val_loss', verbose=1, save_best_only=False, mode='min')
#TRAIN
H=model.fit(x_train,
y_train,
batch_size = 8,
validation_data=(x_val, y_val),
epochs=40,
verbose=1,
callbacks=[tensorboard_callback,learning_rate,checkpoint])
在图中,您可以看到,SSIM的Tensorboard中的值低于正在执行的步骤,高于jupyter控制台中显示的值,而此时它应该是相反的
有什么想法吗
多谢各位
Tensorboard vs jupyter笔记本电脑
您能否共享独立代码来复制您的问题?这样我们可以试着帮助你。谢谢