博文

Latex知识点

2021-1-26 11:23

\maketitle \maketitle %添加这一句才能够显示标题等信息 %摘要开始部分 \begin{abstract} 该部分内容是放置摘要信息的。该部分内容是放置摘要信息的。该部分内容是放置摘要信息的。该部分内容是放置摘要信息的。该部分内容是放置摘要信息的。 \end{abstract} ...

个人分类: Paper writing|4020 次阅读|没有评论

【Pytorch】GN在3DResNet中的实现

2020-7-20 20:19

official websitehttps://pytorch.org/docs/master/generated/torch.nn.GroupNorm.html#groupnorm class torch.nn. GroupNorm ( num_groups: int , num_channels: int , eps: float = 1e-05 , affine: bool = True ) ...

个人分类: DeepLearning|3701 次阅读|没有评论

vocabularies for writing

2020-7-17 23:56

描述 describe, description, depict, delineate,

个人分类: Paper writing|1899 次阅读|没有评论

宁波智慧医疗相关报告和文件

2020-7-16 21:29

宁波市智慧健康展示 http://www.nbec.gov.cn/col/col16469/index.html 宁波市人民政府智慧医疗 http://gtoc.ningbo.gov.cn/art/2019/8/19/art_158_1016884.html

个人分类: 智能医疗|2319 次阅读|没有评论

brain viewers

2020-7-16 15:18

online tool https://socr.umich.edu/HTML5/BrainViewer/

个人分类: brain domain knowledge|2085 次阅读|没有评论

consecutive_numbers_in_a list & nested_loop & same_actions

2020-6-9 15:05

1. detect consecutive nums in a list def detect_consecutive_nums(num_list): ''' group consecutive numbers Example: num_list = nums_grouped = , , , ]&# ...

个人分类: Python|1709 次阅读|没有评论

[转载]EfficientNet启示

2020-5-18 16:04

Depth (d) : Scaling network depth is the most common way used by many ConvN. The intuition is that deeper ConvNet can capture richer and more complex features, and generalize well on new tasks . However, deeper networks are also more difficult to train due to the vanishing gradient problem ...

个人分类: DeepLearning|1545 次阅读|没有评论

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