试题分析:句意:-你对什么感兴趣?-下棋。play chess 是一个固定的短语,意思是下棋。根据句意可知,这个问题问的是你对什么感兴趣,而题目中的回答是一个省略的形式,完整的回答应该是I am interested in playing chess,由此我们可以知道这里应该用动名词的形式做宾语,故选C。考点:考查特殊疑问句的答语。
In Chinese chess, what is the first thing a player usually does? A. Move a cannon randomly. B. Think for a long time. C. Decide on an opening move. D. Look at the opponent's pieces. 相关知识点: 试题来源: 解析 C。中文解析:在中国象棋中,玩家通常首先决定一个开局走法,所以答案是 C...
In the game of chess, you move your pieces like this. What is "piece" in Chinese? A. 棋子 B. 蛋糕 C. 衣服 D. 水果 相关知识点: 试题来源: 解析 A。本题考查单词“piece”的意思。选项 B“蛋糕”是“cake”;选项 C“衣服”是“clothes”;选项 D“水果”是“fruit”,“piece”在象棋里表示...
What ___ it is to play chess in spare time! [ ] A.funny B.fun C.a fun D.funs 答案 答案:B 提示: fun是一个不可数名词. 结果三 题目 What ___ it is to play chess in spare time! A. funny B. fun C. a fun D. funs 答案 B 相关推荐 1【题目】Whatit is to play ...
Take a chess personality quiz to discover the best chess openings for your style, which chess master you look like, and which friends are most like you.
— Playing chess. A.is; keen onB.is; bored withC.is; good at 试题答案 在线课程 【答案】A 【解析】 句意:—他对什么感兴趣?—下棋。 keep on继续,持续不断,be bored with对……感到无聊,be good at擅长,be interested in…对……感兴趣,相当于be keen on;根据句意,可知选A。
I know a bit about chess… Neil An educated guess is based on knowledge and experience and is therefore likely to becorrect. Well, we’ll find out later on how educated your guess was in this case, Tim! Tim Indeed. But getting ...
In that way, reinforcement learning handles more complex and dynamic situations than other methods because it allows the context of the project goal to influence the risk in choices. Teaching a computer to play chess is a good example. The overall goal is to win the game, but that may ...
One of the most famous examples of reactive AI isDeep Blue, a supercomputer created by IMB in the 1990s that won a chess match against chess champion Garry Kasparov. Deep Blue could identify the chess board pieces and how each piece could move based on the game's rules. ...
outcomes may not be great, but data scientists will tweak as needed to refine performance and increase accuracy. Then the algorithm is shown data again, usually in larger quantities to tune it more precisely. The more data the algorithm sees, the better the final model should become at deliver...