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先上一张实物图，这几个月来，利用业余时间开发的一款脱机烧录器，目前完美支持Nordic 51，52系列烧录。开发该脱机烧录器源于立创开源项目，但实际做下来，与开源项目形态已经完全不同。先简单分享一下经历的坑吧。
脱机烧录器实物
脱机烧录器配置工具（QT开发）
坑1：方案选择问题。立创开源项目使用GD32F4的芯片，这颗芯片价格蛮贵的，我选择性价比更高的小华HC32F460芯片。这颗芯片我一开始在RT Thread SDK开发，这个平台下USB驱动我没搞定。后来直接在小华USB例程上开发无操作系统方案。
坑2：编译工具链问题。我习惯了IAR FOR ARM开发工具，虽然中文支持不好，但代码文件管理做得不错。但在移植了LVGL后，无故总出现死机问题，后来才知LVGL需要C99编译工具链，而最新的IAR FOR ARM没有对C99的支持。后来又转而移植到KEIL平台。
坑3：业务不清晰导致方案拖了很久。脱机烧录器需要外壳的。对于结构开发我做不了。按照现有方案，我一开始选择立创开源外壳结构方案，因为电路板，外壳结构尺寸等都已完美配合。不需要开发结构，只需要
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B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. 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这是本人在两年内准备参加数学建模竞赛搜集到的模型资料，已经经过了本人的筛选和整理，希望能够对准备参加数学建模竞赛的学弟学妹们提供一些帮助！
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