datagent | Datagent是一个用于模块化管理前端请求的工具,提供数据格式化、多服务源切换、语义化数据定义等功能。在 React | Frontend Framework library
kandi X-RAY | datagent Summary
kandi X-RAY | datagent Summary
Datagent是一个用于模块化管理前端请求的工具,提供数据格式化、多服务源切换、语义化数据定义等功能。在 React,Vue,Angular 等现代 JavaScript 框架下,UI 显示均以数据驱动为中心,服务端提供的数据不是所有场合都能符合 UI 所需的结构。格式化数据、转义数据的代码往往不可避免的写在UI组件、业务逻辑代码或是页面等各个地方,导致冗余代码、逻辑复杂又难以维护等问题。面对这类情况可使用Datagent解决这类问题,不单单能统一调取后端服务和格式化从服务端获得的数据,定义一些处理后还能用于所有场景,让你更方便同步UI状态。.
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QUESTION
I'm a beginner. I try Image classification on CNN model using MNIST on Jupyter notebook by the following program. When running two(or multiple) times from "model.fit_generator" in a row, the accuracy of second-running is affected by the first-running's result? Seeing the indicated results, the second running seems to be already a better accuracy, I think. Please give me some advice...
...ANSWER
Answered 2021-Feb-28 at 10:03The more you train your CNN, the more it will start learning the noise.
Due to this, it will start performing really well on the training accuracy, but the validation accuracy will go down as it cannot generalize well on the data it has not seen.
Check this out for more info: bias-variance tradeoff
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