Bug reports and pull requests are welcome on GitHub at https://github.com/bullet-train-co/magic_test. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct. License The Ruby Gem is availabl...
Mount Fuji... About 50-60 minutes after leaving Tokyo, the train passes Mount Fuji on the right hand side, see https://en.wikipedia.org/wiki/Mount_FujiNo, it really doesn't look like the mist-free bright-and-sunny snow-capped PR photos does it? And what lens makes the shinkansen ...
Oddly, the roadmap in the previous bullet point it covers theSolsticeera of the play testing. However, CCP also published a post withhighlights from the recent Solstice play test. Does that mean it is over? There is a long infographic with all sorts of odd stats in the post linked. One...
Edward Lara // Shutterstock Train for a family 5K Thischild-engaging activitycalls for some parent and sibling participation, which promises to benefit everyone by the time the finish line is crossed. The six-week plan is a perfect summertime goal that can be performed even during social distanc...
Train for a family 5K Thischild-engaging activitycalls for some parent and sibling participation, which promises to benefit everyone by the time the finish line is crossed. The six-week plan is a perfect summertime goal that can be performed even during social distancing. If there are no avail...
Train for a family 5K Thischild-engaging activitycalls for some parent and sibling participation, which promises to benefit everyone by the time the finish line is crossed. The six-week plan is a perfect summertime goal that can be performed even during social distancing. If there are no avail...
:bullettrain_side: A fast JSON parser/generator for Java. (Aliyun Data Lake Analytics https://www.aliyun.com/product/datalakeanalytics powered by fastjson ) - GitHub - zhuangwuxin/fastjson: :bullettrain_side: A fast JSON parser/generator for Java. (Aliy
根据之前的描述,最小化训练数据上的分布 P(train)与最小化模型分布 P(model) 的差异等价于最小化相对熵,即 。此时, P(train)就是 中的p,即真实分布,P(model) 就是 q。又因为训练数据的分布 p 是给定的,所以求 等价于求 H(p,q)。得证,交叉熵可以用来计算学习模型分布与训练分布之间的差异。交叉熵广...