What is the translation of " 训练一个神经网络 " in English?

• training a neural network
• trains a neural network

Examples of using 训练一个神经网络 in Chinese and their translations into English

构建并训练一个神经网络.
Creating and training a neural network.

训练一个神经网络模型需要如下步骤：.
Training the neural network model requires the following steps:.

要训练一个神经网络，你需要一个大的数据集。
To train a Neural Network, you need a large data set.

训练一个神经网络的基本步骤如下：.
Steps for training a neural network are as follows:.

训练一个神经网络，你需要一个很大数据集。
To train a Neural Network, you need a large data set.

训练一个神经网络涉及到对神经元权重的调整，以便一个给定的输入产生期望的输出。
Training a neural network inolves adjusting the neurons' weights so that a given input produces the desired output.

本节将训练一个神经网络模型用于服装图片的分类，例如运动鞋和衬衫。
This guide trains a neural network model to classify images of clothing, like sneakers and shirts.

训练一个神经网络来进行专家级的青蛙过河游戏其实非常容易，但是解释AI在其中所做的事情通产很难。
Training a neural network to play expert Frogger is easy enough, but explaining what the AI is doing is even harder than usual.

本教程将训练一个神经网络模型来对衣服图片进行分类，比如运动鞋和衬衫。
This guide trains a neural network model to classify images of clothing, like sneakers and shirts.

训练一个神经网络涉及重复地向它展示：「给定一个输入，就会有一个正确的输出」。
Training a Neural network involves repeatedly showing it that:“Given an input, this is the correct output”.

译自：TensorFlow官方教程本指南训练一个神经网络模型，对运动鞋和衬衫等服装图像进行分类。
This guide trains a neural network model to classify images of clothing, like sneakers and shirts.

训练一个神经网络需要调整神经元的权重，以使得一个给定的输入能产生理想的输出。
Training a neural network involves adjusting the neurons' weights so that a given input produces the desired output.

Pensieve训练一个神经网络模型，根据客户端视频播放器收集的观察结果，为未来的视频块选择比特率。
Pensieve trains a neural network model that selects bitrates for future video chunks based on observations collected by client video players.

利用BBC的数千小时电视节目，科学家训练一个神经网络来为视频片段加上字幕，准确度有46.8%。
Using thousands of hours of TV footage from the BBC, scientists trained a neural network to annotate video footage with 46.8 percent accuracy.

利用BBC的数千小时电视节目，科学家训练一个神经网络来为视频片段加上字幕，准确度有46.8%。
Scientists trained a neural network to annotate video footage with 46.8 percent accuracy by using hours of TV footage.

而在实践中，该图是不可用的--因此我们需要训练一个神经网络近似器来估计多步观察内容之间的关系。
In practice, this graph is not available- so we train a neural network approximator to estimate a number of steps between observations.

训练一个神经网络的第一步是选择所使用的帧。
The first step to training a neural network is selecting the frames to use.

该工作提出的解决方案是训练一个神经网络来直接生成风格迁移的图像。
The solution offered by related work is to train a neural network to create a style transformed image directly.

训练一个神经网络的过程和你如何描绘它的过程一样。
The process of training a neural network is exactly how you're picturing it.

比如，如果你想要训练一个神经网络来识别苹果或者橙子的照片，那么你就需要给将这些图片标签化。
For example, to train a neural network to identify pictures of apples or oranges, it needs to be fed images that are labeled as such.

通常情况下，从头开始训练一个神经网络需要大量的数据，但你并不总是能够获得足够的数据。
Usually, you need a lot of data to train a Neural Network from scratch but you don't always have access to enough data.

译自：TensorFlow官方教程本指南训练一个神经网络模型，对运动鞋和衬衫等服装图像进行分类。
Basic Classification- In this tutorial, we train a neural network model to classify images of clothing, like sneakers and shirts.

当在多个GPU上并行训练一个神经网络，你必须选择如何将不同的运算分布到不同的GPU上。
When parallelizing training of a neural network onto many GPUs, you must choose how to distribute different operations onto the different GPUs available to you.

第四，解决直觉性问题：训练一个神经网络需要重复地向它展示：「给定一个输入，就会有一个正确的输出」。
Solving intuitive problems: Training a Neural network involves repeatedly showing it that:“Given an input, this is the correct output”.

构建并训练一个神经网络.
Training and Building of Neural Network.

训练一个神经网络需要大量的训练数据。
Training a neural net requires a lot of training data.

从最优化的角度来看，训练一个神经网络是困难的。
From an optimization point of view, training a neural net is difficult.

本节将训练一个神经网络模型用于服装图片的分类，例如运动鞋和衬衫。
In this guide, we will train a neural network model to classify images of clothing, like sneakers and shirts.

现在，我们只用训练一个神经网络，而之前我们需要训练一个神经网络以及很多SVM。
Now we only have one neural net to train, as opposed to one neural net and many SVM's.