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List all developers on a project in Git

...next in the current merge window, I don't care so much about who wrote a patch, as what git tree it came from, which generally boils down to "who committed it". So make git shortlog take a "-c" or "--committer" option to switch grouping to that. ...
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Overloading member access operators ->, .*

...; std::cout << x.a << y->a << z->a; // print "333" } ->* This one is only tricky in that there is nothing special about it. The non-overloaded version requires an object of pointer to class type on the left-hand side and an object of pointer to member type on the r...
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Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(二) - 大数据 & AI - 清泛...

...ature Learning) 直观上说,就是找到make sense的小patch再将其进行combine,就得到了上一层的feature,递归地向上learning feature。 在不同 上做training是,所得的edge basis 是非常相似的,但 parts和models 就会completely different...