import tensorflow
logdir = './logs'
checkpoint_path = './checkpoint/Titanic.{epoch:02d}-{val_loss:.2f}.ckpt' #路径为当前目录下的checkpoint子目录，后边为命名规则
callbacks = [tf.keras.callbacks.TensorBoard(log_dir = logdir, histogram_freq = 2), #参数一：日志文件目录， 参数二：直方图频率为2
tf.keras.callbacks.ModelCheckpoint(filepath = checkpoint_path, save_weights_only = True, verbose = 1, period = 5)]
#参数一：ckpt文件的路径，参数二：仅保存模型的权重，参数三：保存时的输出信息，参数四：周期
logdir = './logs'
checkpoint_path = './checkpoint/Titanic.{epoch:02d}-{val_loss:.2f}.ckpt'
checkpoint_dir = os.path.dirname(checkpoint_path) #去掉文件名，返回目录
latest = tf.train.latest_checkpoint(checkpoint_dir) #找到最新的checkpoint
model.load_weights(latest) #加载权重
自己选择的路，跪着也要走完。朋友们，虽然这个世界日益浮躁起来，只要能够为了当时纯粹的梦想和感动坚持努力下去，不管其它人怎么样，我们也能够保持自己的本色走下去。