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1. Commits on May 29, 2020

   • docs(readme): 仓库长描述 - 不再继续了

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2. Commits on May 5, 2020

   • docs(changelog): 更新版本号

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   • docs(readme): 更新文档使用

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   • docs(demo): 更新训练日志和图像

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   • perf(draw): 中文乱码；每次重新绘制新的图片

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   • perf(draw): 保存绘制图片

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   • style(data): 更新数据集路径

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   • docs(readme): 更新致谢章节

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   • docs(index): 添加参考链接

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   • docs(demo): 使用示例

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   • docs(data): 数据集介绍和实现

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   • docs(solver): 求解器实现

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   • docs(model): 实现的网络模型

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   • docs(layer): 实现的网络层

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   • docs(overall-structure): 介绍PyNet整体实现架构

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   • docs(readme): 添加readthedocs徽章

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   • docs(index): 仓库整体介绍

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   • build(git): 忽略__pycache__目录

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   • build(python): 添加PyNet库依赖

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   • feat(mkdocs): 新建文档工程

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   • perf(example): 使用pynet内置的绘制类Draw

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   • perf(pynet): 文件重命名

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   • docs(readme): 重命名

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   • refactor(pytorch): 删除pytorch操作

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3. Commits on Sep 11, 2019

   • docs(CHANGELOG): 更新版本日志

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   • docs(README): 更新README链接

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   • docs(CHANGELOG): 生成CHANGELOG

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4. Commits on Jul 8, 2019

   • refactor(nn): 更新随机失活层，在FCNet实现随机失活操作

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   • feat(nn): 实现批量归一化层，在FCNet上实现BN，使用3层网络进行测试

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   • feat(model): 实现自定义层数和大小的神经网络FCNet

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   • refactor(cifar): 利用sklearn库实现训练集和验证集分离

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   • refactor(ThreeLayerNet): 添加forward操作中输入数据的变形

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   • refactor(nn): 更新有参数层的偏置向量初始化为0,更新Conv2d和MaxPool的类名

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   • refactor(cifar): 参考cs231n assignment2 data_utils.py实现加载CIFAR10数据

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5. Commits on Jul 3, 2019

   • docs(README): 更新工程目录

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