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May 30, 2016 · Choo, chug and chuff are onomatopoeic words for the sound a steam train makes. In BE, choo-choo and (less commonly) chuff-chuff are onomatopoeic words for "train" (or more specifically, the engine) - they are used when speaking to very young children and thus, by very young children. I can't think of any with a k sound in them.
Apr 16, 2017 · To me, the first one implies a more specific situation. You already have your tickets or you already know the exact train you're planning to take. The second one could mean that, too, but not necessarily. It could mean you have an intention to go someplace, but haven't made plans for a specific train. You need to do that now.
Feb 8, 2022 · a) the train leaves b) leaves the train c) is the train leaving d) does the train leave The answer is option d) so i assume, the quiz was poorly designed. Or is there still any valid reason on why c ) was incorrect ? Thanks,
Dec 22, 2009 · For example, if I'm talking about a train that leaves EVERY day at 6:00 (the regularly scheduled 6:00 train), I'd say "The train leaves at 6:00." "The train is leaving at 6:00" refers to a single train, which will depart at a future time. "The train is going to leave at 6:00" could be an affirmation that, YES, the train WILL depart at 6:00.
看题主的意思，应该是想问，如果用训练过程当中的loss值作为衡量深度学习模型性能的指标的话，当这个指标下降到多少时才能说明模型达到了一个较好的性能，也就是将loss作为一个evaluation metrics。
我的经验：看loss曲线，如果train loss和val loss都还有下降空间，就继续加大epoch，如果基本平了，加大epoch用处也不大了，如果train loss降val loss降着降着上升了，这说明，模型在val loss由降转升的转折点就收敛了。
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French and English words, phrases and idioms: meaning, translation, usage. Mots, expressions et tournures idiomatiques françaises et anglaises : signification ...
train[:, -1]， 是说对train这个二维的数据，逗号分隔开的前面的":"是说取全部的行，逗号后面的-1是说取最后一列。 如果换成一维数组会容易理解，比如list[:] 以及list[-1]。
Jan 6, 2014 · In this system, the algorithm is manually taught the differences between spam and non-spam. This depends on the ground truth of the messages used to train the algorithm; inaccuracies in that ground truth will correlate to inaccuracies in the resulting spam/non-spam verdicts.
