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Differences between TensorFlow and Keras in terms of their features, use cases and programming interfaces for machine learning and deep neural networks. TensorFlow and Keras are both popular frameworks for machine learning and deep neural networks, but with different focuses and areas of application. T...
内存缓存可将重要数据存储在内存中以实现低延迟访问,从而提高应用程序性能。 1)对应的nosql:Redis,Memcached等 2)典型应用场景:内容缓存,主要用于处理大量数据的高访问负载,也用于一些日志系统等等。 3)优点:查找速度快。 4)缺点:数据无结构化,通常只被当作字符串或者二进制数据。 以上就是NOSQL的介绍,更加详细深入...