神经网络可以 in English translation

• neural network can
• neural networks can
• neural networks could
• neural network could

Examples of using 神经网络可以 in Chinese and their translations into English

递归神经网络可以被认为是同一网络的多个副本，每一步都传递一个消息给下一步。
A recurrent neural network can be thought of as multiple copies of the same network, each passing a message to a successor.

与卷积神经网络不同，胶囊神经网络可以识别相对空间关系，这在天气模式的演变中很重要。
Unlike convolutional neural networks, capsule neural networks can recognize relative spatial relationships, which are important in the evolution of weather patterns.

例如，通过分析成千上万的眼部扫描图像，神经网络可以学会如何监测糖尿病视网膜病变的征兆。
By analyzing thousands of eye scans, for instance, a neural network can learn to detect signs of diabetic blindness.

神经网络可以使用注意力机制实现相同的行为，将注意力集中在给出了信息的部分上。
Neural networks can achieve this same behavior using attention, focusing on part of a subset of the information they're given.

例如，神经网络可以查看图片，识别图片中的元素，并根据它们显示的内容对图片进行分类。
For example, a neural network can look at pictures, recognize the elements in them and classify them according to what they show.

深度学习架构是最近20年内诞生的，它显著增加了神经网络可以解决的问题的数量和类型。
The last two decades gave us deep learning architectures, which greatly expanded the number and type of problems neural networks can address.

图：研究人员已经证明，神经网络可以通过光学电路（图中蓝色矩形）进行训练。
IMAGE: Researchers have actually revealed a neural network can be trained utilizing an optical circuit(blue rectangular shape in the illustration).

机器学习可以是监督的也可以是非监督的，这意味着大型神经网络可以接受「标签化输入」，但并不需要。
Learning can be supervised or unsupervised, meaning that large neural networks can accept tagged input but do not require it.

这篇论文对模型复杂性的学习理论能力提出质疑，试图让其解释为什么神经网络可以泛化到未见过的数据。
This paper questions the ability of learning-theoretic notions of model complexity to explain why neural networks can generalize to unseen data.

例如，通过在数百万狗的照片中寻找到一个模式，神经网络可以学会识别狗。
By looking for patterns in thousands of dog photos, for instance, a neural network can learn to recognize a dog.

一直以来Python作为机器学习的主力语言，现在神经网络可以应用任何语言了，包括JavaScript!
While traditionally Python has been the go-to language for machine learning, nowadays neural networks can run in any language, including JavaScript!

例如，通过分析行人的照片，神经网络可以学习识别行人。
By analyzing photos of pedestrians, for example, a neural network can learn to identify a pedestrian.

随着语言的变化和使用场景的变化，随着偏差和偏见被发现，神经网络可以在新数据上被重新审视和重新训练。
As language changes and usage shifts, as biases and prejudices are discovered, the neural network can be revisited and retrained on new data.

例如，在数百万张自行车照片中寻找常见图案，神经网络可以学会识别自行车。
By looking for common patterns in millions of bicycle photos, for instance, a neural network can learn to recognize a bike.

你的训练数据需要囊括这所有的一切，才能确保神经网络可以应对它们。
All of these issues need to be present in your training data to make sure the neural network can deal with them.

经过训练，神经网络可以在几分之一秒内产生高度精确的预测。
After training, the neural network can produce highly accurate predictions in just a fraction of a second.

然而，有一种类型的神经网络可以利用形状信息：卷积网络。
However, there is a type of neural network that can take advantage of shape information: convolutional networks..

神经网络可以通过从数千张小狗的照片中学习识别小狗。
A neural network can learn to recognise a dog by gleaning patterns from thousands of dog photos.

但对于实际问题呢？神经网络可以在你需要的时候帮你找到你需要的任何表情符号吗？哎呀，是的。
Can the neural network help you find any emoji you need when you need it? Oh, yes.

不过，有一种神经网络可以利用这些形状信息：卷积网络（convolutionalnetwork）。
However, there is a type of neural network that can take advantage of shape information: convolutional networks..