1、keras 与 tensorboard

from tensorflow.keras.callbacks import TensorBoard

filepath="snapshot/v2_weights-improvement-{epoch:02d}-{val_acc:.2f}.hdf5"
tensorboard = TensorBoard(log_dir='logs/{}'.format(filepath))
callbacks_list = [checkpoint, tensorboard]

model.fit(train_imgs, train_labels, validation_data=(test_imgs, test_labels) ,
          batch_size=256, callbacks=callbacks_list, epochs=15, shuffle=True, verbose=0)

　终端  tensorboard --logdir="./log"

   http://localhost:6006（如果访问的是服务器，别忘记修改ip）

   https://*.com/questions/42112260/how-do-i-use-the-tensorboard-callback-of-keras