Module: tf.keras.callbacks
class BaseLogger: 累计评估值的回调函数
Callback that accumulates epoch averages of metrics.
class CSVLogger: 将每次迭代的流数据保存到csv文件的回调函数
Callback that streams epoch results to a csv file.
class Callback: 用于生成新回调的抽象基类
Abstract base class used to build new callbacks.
class EarlyStopping: 当监控量停止改善时停止培训
Stop training when a monitored quantity has stopped improving.
class History: 记录日志到History的回调函数
Callback that records events into a History object.
class LambdaCallback: 用于动态创建简单的自定义回调的回调函数
Callback for creating simple, custom callbacks on-the-fly.
class LearningRateScheduler: 学习率调度程序
Learning rate scheduler.
class ModelCheckpoint: 在每个epoch之后保存模型
Save the model after every epoch.
class ProgbarLogger: 将评估值打印到stdout的回调函数
Callback that prints metrics to stdout.
class ReduceLROnPlateau: 当一个评估停止改进时降低学习率
Reduce learning rate when a metric has stopped improving.
class RemoteMonitor: 用于将事件流式传输到服务器的回调
Callback used to stream events to a server.
class TensorBoard: 启用TensorBoard的可视化
Enable visualizations for TensorBoard.
class TerminateOnNaN: 当遇到NaN丢失时终止培训的回调
Callback that terminates training when a NaN loss is encountered.
class BaseLogger
该类的结构：
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