NEURAL in Chinese translation

['njʊərəl]
['njʊərəl]
神经
neural
nerve
nervous
neurological
neuroscience
neuron

Examples of using Neural in English and their translations into Chinese

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Another important area is open format, and IBM is one of the community partners behind the Open Neural Network eXchange(ONNX).
另一个重要方面是开放格式,IBM是OpenNeuralNetworkeXchange(ONNX)背后的社区合作伙伴之一。
Through the neural network, it recognizes the actual object shape in the real world, so CG can perceive it and interact with it.
通过神经网络,它识别现实世界中的实际物体形状,因此CG可以感知它并与之相互作用。
On select Android devices, the Interpreter will use the Android Neural Networks API for hardware acceleration, or default to CPU execution if none are available.
关于选择Android设备,解释器会采用AndroidNeuralNetworksAPI来进行硬件加速,或者如果没有可用的,默认为CPU执行。
The performance of a neural network depends on how much data it can ingest, train on, and process;
神经网络的性能取决于它可以摄取、训练和处理多少数据;
The new Deep Learning Toolbox, which replaces Neural Network Toolbox, provides engineers and scientists with a framework for designing and implementing deep neural networks.
新的DeepLearningToolbox取代了NeuralNetworkToolbox,为工程师和科学家提供了用于设计和实现深度神经网络的框架。
Another Google AI product, called NSynth, uses a neural network to analyze thousands of songs and creates its own original music.
另一种名为NSynth的GoogleAI产品使用神经网络来分析数千首歌曲并创建自己的原创音乐。
Recently, Graph Neural Network(GNN) has gained increasing popularity in various domains, including social network, knowledge graph, recommender system, and even life science.
最近,GraphNeuralNetwork(GNN)在很多领域日益普及,包括社交网络、知识图谱、推荐系统甚至于生命科学。
We can see that the connection weight parameters of nodes on the hidden layer of a CNN neural network can be shared.
我们可以看到,CNN神经网络的隐层节点的连接权值参数可以共享。
In this paper, we present a Neural Transducer that can make incremental predictions as more input arrives, without redoing the entire computation.
在本篇论文中,我们提出了NeuralTransducer,当有更多输入进来时,可以进行增量预测,而不需要重新做整个计算。
The general concept is to train a neural network on a baseline data and let it determine behavior that deviates from the baseline.
一般概念是在基线数据上训练神经网络,并让它确定偏离基线的行为。
Within days the skin cells transformed into early-stage brain stem cells, also called induced neural stem cells(iNSCs).
几天之内,这些皮肤细胞转变为早期阶段的脑干细胞(brainstemcell),也被称作诱导性神经干细胞(inducedneuralstemcells,iNSCs)。
Each algorithm controls the neural systems that enable her to imitate, develop a reward system, and learn new information through interaction and demonstration.
每种算法都控制神经系统,使她能够模仿,开发奖励系统,并通过交互和演示学习新信息。
Since many on-device scenarios require real-time performance, we're also working on a new Neural Network API that TensorFlow can take advantage of to accelerate computation.
由于许多设备情景都需要实时性能,我们也在开发一款全新的NeuralNetworkAPI,TensorFlow可以利用此API加快计算速度。
For example, you could prune a decision tree, use dropout on a neural network, or add a penalty parameter to the cost function in regression.
例如,您可以修剪决策树,在神经网络上使用dropout,或者在回归中向代价函数添加一个惩罚参数。
Caffe has been used for image classification and other vision applications, and it supports GPU-based acceleration with the NVIDIA CUDA Deep Neural Network library.
图像分类和其他视觉应用中已采用Caffe,而且Caffe支持通过NVIDIACUDADeepNeuralNetwork库实现基于GPU的加速。
This tool, called Neural Code Search(NCS), accepts natural language queries and returns relevant code fragments retrieved directly from the code corpus.
该工具被称为神经代码搜索(NCS),它接受自然语言查询并返回直接从代码语料库中检索的相关代码片段。
Thus, I started looking at the best online resources to learn about the topics and found Geoffrey Hinton's Neural Networks for Machine Learning course.
因此,我开始去寻找最好的相关网络资源,发现了GeoffreyHinton的NeuralNetworksforMachineLearning课程。
When they analyzed the neural data, they spotted the link between the dynamics of the switching mechanism and the animals' behavior.
当他们分析神经数据时,他们发现了开关机制的动态和动物行为之间的联系。
The aforementioned accelerator chip- Nervana Neural Net L-1000, code-named“Spring Crest”- might arrive alongside the NNP-I.
上述代号为“SpringCrest”的加速芯片NervanaNeuralNetL-1000可能与NNP-I一起出现。
A cost function is a measure of“how good” a neural network did with respect to its given training sample and the expected output.
成本函数是神经网络做的“有多好”的量度,在给定训练样本和预期输出方面。
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