OUR ALGORITHM - 翻译成中文

在 英语 中使用 Our algorithm 的示例及其翻译为 中文

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Now, our algorithms typically will just weight those words less and just not give you as much credit.
现在,我们的算法通常只会赋予那些关键词少的权重,而不会给你太多的信用。
We design- and continually improve- our algorithms to provide the most relevant and useful results.
我们会设计并不断改进我们的算法,确保提供最相关、最有用的结果。
If our algorithms are to develop equally sophisticated behaviours, they too must have the capability to'imagine' and reason about the future.
如果我们的算法想要发展出同样复杂的行为,它们必须具备「想象」和推理的能力。
Our algorithms automatically split the problem into smaller parts which fit your hardware the best.
我们的算法自动将问题分成更小的部分,最适合您的硬件。
What happens when our algorithms select the news we see and we completely miss what others are seeing?
我们的算法选择了我们看到的新闻,而我们却完全忽略了其他人看到的新闻时,会发生什么?
The more that our algorithms take on, the better that humans are able to perform,” Cinnamon tells us.
我们的算法执行得越多,人类就能更好地执行,”肉桂告诉我们。
And now we're feeding this data through our algorithms to identify lactic acid threshold.”.
现在,我们正在通过我们的算法提供这些数据,进而确认乳酸阈值。
We're trying to teach our algorithms to think like a human, so we do a lot of serious gaming.
我们正在尝试教我们的算法像人一样思考,因此我们进行了大量严肃的游戏。
We are using principles like those of the human ear, where vibrations are picked up and our algorithms decipher them to determine your specific movements.
我们使用的原理类似于人耳的原理,振动被拾取,我们的算法会破译它们以确定您的特定动作。
Just as we concern ourselves with who's teaching our children, we also need to pay attention to who's teaching our algorithms.
正如我们关注谁在教我们的孩子一样,我们也需要注意谁在教我们的算法
I am glad to see that the other deep learning labs and companies are now also heavily using our algorithms.
我很高兴看到其它深度学习实验室和公司现在也大量使用我们的算法
At 8 false positives per slide, our algorithms had a sensitivity of 92%.
如果每个载玻片允许有8个假阳性,我们的算法的灵敏度可达到92%。
We are using principles like those of the human ear, where vibrations are picked up and our algorithms decipher them to determine your specific movements.
我们使用原则类似人类的耳朵,振动在哪里捡起我们的算法破译他们决定你的具体动作。
In reality, as our algorithms and sensors become exponentially more accurate and we gather more data, experts project a 99% reduction or more.
实际上,随着算法和传感器更加准确,手机的数据越来越多,专家们预计事故率将至少降低99%。
We improved our algorithms over time until they were able to consider thousands of different factors and understand geographic location on a very detailed level.
随着时间的推进,我们不断改进我们的算法,直到他们能够考虑数千种不同的因素,并在非常精细的水平上理解地理位置。
Much to our surprise, we only required 50- I repeat, only 50- of these composite images to train our algorithms to high efficiencies.
让我们惊讶的是,我们只需要50张--我重复一遍,只有50张--这些合成图像就能训练我们的算法达到高效率。
This has earned China an A+ in our algorithm.
这让中国在我们的算法中获得了A+。
This leaves us with a single node and our algorithm is complete.
这使我们与一个单一的节点,我们的算法是完整的。
To test our algorithm, we exposed an agent to Atari games sequentially.
为了测试我们的算法,我们依次让代理接触一个个不同的Atari游戏。
Our algorithm determines the trust score based on 40 different data points it collect.
我们的算法基于收集的40个不同数据点来确定信誉评分。
结果: 448, 时间: 0.0291

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