What is the translation of " CAFFE " in Chinese?

• caffe

Examples of using Caffe in English and their translations into Chinese

Caffe is a deep learning framework.
Caffe是一个深度学习框架。

Developed by the Berkley AI Research team, Caffe is a deep learning framework made for expression, speed, and modularity.
Caffe由伯克利人工智能研究团队开发的Caffe是一个由表达式，速度和模块化组成的深度学习框架。

Caffe is a deep learning framework.
Caffe是一个强大的深度学习框架。

Cuda-convnet/CuDNN supports all the mainstream softwares such as Caffe, Torch and Theano and is very easy to enable.
Cuda-convnet/CuDNN支持所有主流软件，例如Caffe，Torch和Theano，都是容易实现的。

Caffe is a powerful deep learning framework.
Caffe是一个功能强大的深度学习框架。

Some of the common ones are TensorFlow, Caffe, Keras, and Computational Network Toolkit(CNTK)[4, 5, 6, 7].
一些常见的框架有TensorFlow，Caffe，Keras和ComputationalNetworkToolkit(CNTK)[4，5，6，7]。

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center.
CAFFE是由伯克利视觉与学习中心开发的一个深度学习框架。

And they're selling DevBox- a machine customised for running Digits and other deep learning software(Theano, Caffe, etc).
并且他们正在出售DevBox，这是一款定制机器，可以运行Digits和其他深度学习软件（Theano，Caffe等）。

Understand Caffe's structure and deployment mechanisms.
了解Caffe的结构和部署机制.

The AWS Deep Learning AMI comes pre-configured with popular frameworks such as Apache MXNet, TensorFlow, Caffe, and Keras.
AWS深度学习AMI自带预配置的流行框架，例如ApacheMXNet、TensorFlow、Caffe和Keras。

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center.
CAFFE是一个用于深度学习的开源库，由伯克利视觉和学习中心开发。

By now they have been superseded by TensorFlow, often used via its high level API Keras, CNTK, Caffe 2, and Apache MxNet.
如今它们已经被TensorFlow（经常是以高层APIKeras的形式被使用）、CNTK、Caffe2和ApacheMXNet所取代。

Caffe is a pure C++/ CUDA architecture open-source project that supports command line, Python, and MATLAB interfaces;
Caffe是纯粹的C++/CUDA架构，支持命令行、Python和MATLAB接口；.

Existing models based on open-source TensorFlow, Theano, and Caffe can be adapted for high-performance computers, GPUs, or even thumb PCs.
基于TensorFlow、Theano和Caffe的现有模型可以适应于高性能的计算机、GPU甚至拇指电脑。

Caffe gives the definition of the model, optimization settings, and pre-trained weights, so it's easy to get started immediately.
Caffe给出了模型的定义、最优化设置以及预训练的权重，方便立即上手。

It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.
它支持许多常见的机器学习框架，如Caffe、MxNet和Tensorflow，以及Python和RESTfulAPI等。

For instance, Caffe has minimal RNN resources, while Microsoft's CNTK and Torch have ample RNN tutorials and prebuilt models.
例如，Caffe拥有极少的RNN资源，而微软的CNTK和Torch则拥有丰富的RNN教程和预置模型。

In the Apple documentation they tell you which formats you're able to convert from, but the ones that are really popular are Keras and Caffe.
在Apple的文档中，他们已经告诉你了哪些格式可以转换，但是最受欢迎的模型无疑就是Keras和Caffe了。

As shown on its official page, Caffe can process over 60M images per day with a single NVIDIA K40 GPU with AlexNet.
如图所示在其官方页面上，Caffe使用一个单一的NVIDIAGPUK40与AlexNet可以每天处理超过60M的图像。

Brian Lee is the Managing Director of Elephant Mountain Coffee, the exclusive Malaysian franchisee of Thailand's Doi Chaang Caffe.
BrianLee是ElephantMountainCoffee的董事总经理，该公司是泰国DoiChaangCaffe的马来西亚独家特许经营商。

Caffe is being used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia.
Caffe应用于学术研究项目、初创原型甚至视觉、语音和多媒体领域的大规模工业应用。

Used by organizations like Airbus and Microsoft, DeepDetect is an open source deep learning server based on Caffe, TensorFlow and XGBoost.
DeepDetect被空中客车和微软之类的企业组织所使用，它是基于Caffe、TensorFlow和XGBoost的开源深度学习服务器系统。

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.
Caffe已用于图像分类及其他视觉应用，支持基于GPU的加速度和NVIDIACUDA深度神经网络库。

Developers can use this new service to train their models using any framework they choose, including Microsoft Cognitive Toolkit, TensorFlow and Caffe.
利用这项新服务，开发者可以使用他们选择的任何框架来训练他们的数据模型，包括微软认知服务工具包、TensorFlow和Caffe等。

Caffe, released in 2017, is known as a smaller machine learning framework for an artificial intelligence development company focusing on speed, modularity, and expressiveness.
Caffe于2017年发布，是一家小巧的机器学习框架，面向专注于速度、模块化和表现力的人工智能开发公司。

As already mentioned, many professional data scientists choose to use open source machine learning tools, such as TensorFlow, Apache Spark's MLlib or Caffe.
如前所述，许多专业数据科学家选择使用开源机器学习工具，如TensorFlow，ApacheSpark的MLlib或Caffe。

Deep learning frameworks like TensorFlow, PyTorch, Caffe, MXNet, and Chainer have reduced the effort and skills needed to train and use deep learning models.
像TensorFlow、PyTorch、Caffe、MXNet和Chainer这样的深度学习框架减少了训练和使用深度学习模型所需的工作量和技能。

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。