What is the translation of " CAFFE " in English?

• caffe

Examples of using Caffe in Chinese and their translations into English

与“Caffe”有关的更改.
Changes related to coffee.

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

最初这个模型是用Caffe训练得出的。
Originally this model was trained in Caffe.

CaffeGreco来罗马最老的咖啡厅.
Coffee at the oldest cafe in Rome.

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

Caffe定义文件的声明性；.
From Caffe, the declarative nature of the definition file;

MXNet的SSD与使用Caffe训练的SSD一样准确。
MXNet's SSD is comparably accurate to an SSD trained with Caffe.

最热门的一个深度学习框架是Caffe。
One of their most well-known open-source projects is the Caffe deep learning framework.

可以使用Caffe提供的各层类型来定义自己的模型。
You can use the various layer types provided by Caffe to define your own model.

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

涵盖的主题是CaffePrimo餐厅和辅助生活项目的状态。
Topics covered are the status of the Caffe Primo and assisted living projects.

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。
Caffe gives the definition of the model, optimization settings, and pre-trained weights, so it's easy to get started immediately.

该应用程序在Caffe框架及Alexnet模型上运行，使用OpenCL加速。
The application runs on the Caffe framework alongside Alexnet accelerated using OpenCL.

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。
Developed by the Berkley AI Research team, Caffe is a deep learning framework made for expression, speed, and modularity.

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

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。
As shown on its official page, Caffe can process over 60M images per day with a single NVIDIA K40 GPU with AlexNet.

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。
For instance, Caffe has minimal RNN resources, while Microsoft's CNTK and Torch have ample RNN tutorials and prebuilt models.

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

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）。
And they're selling DevBox- a machine customised for running Digits and other deep learning software(Theano, Caffe, etc).

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

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。
Existing models based on open-source TensorFlow, Theano, and Caffe can be adapted for high-performance computers, GPUs, or even thumb PCs.

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。
By now they have been superseded by TensorFlow, often used via its high level API Keras, CNTK, Caffe 2, and Apache MxNet.

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。
Caffe is being used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia.

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。
It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.

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。
Brian Lee is the Managing Director of Elephant Mountain Coffee, the exclusive Malaysian franchisee of Thailand's Doi Chaang Caffe.

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。
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.

使用该库的一个主要好处是可以直接从CaffeModelZoo获得许多预先训练好的网络，可立即使用。
A big benefit of the library is the number of pre-trained networks that can be downloaded from the Caffe Model Zoo and used immediately.

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。
As already mentioned, many professional data scientists choose to use open source machine learning tools, such as TensorFlow, Apache Spark's MLlib or Caffe.

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。
Used by organizations like Airbus and Microsoft, DeepDetect is an open source deep learning server based on Caffe, TensorFlow and XGBoost.

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。
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.