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Paddlepaddle (v0.10.0) source mode installation

This is a creation in Article, where the information may have evolved or changed. 0. Preface Paddlepaddle, Baidu's deep learning open source platform.September 27, 2016, Baidu announced its new deep learning open-source platform Paddlepaddle in the open source community GitHub and Baidu Brain platform open for the vast number of developers to download and use. Baidu has become the first technology gia

Build Paddlepaddle on Alibaba Cloud CentOS

This is a creation in Article, where the information may have evolved or changed. From the Internet, the installation of Paddlepaddle is mostly Docker containers running, some of which are installed using Ubuntu, such as thisHttp://www.jianshu.com/p/3dd5dd27dab0Paddle Beginner's starter http://doc.paddlepaddle.org/develop/doc_cn/Installing and Compiling http://doc.paddlepaddle.org/develop/doc_cn/getstarted/build_and_install/cmake/build_from_source_cn.

Baidu Paddlepaddle regular race NLP circuit hot Open

As the foundation of the artificial intelligence age, deep learning has been one of the most popular research fields in artificial intelligence, and Baidu Paddlepaddle deep learning framework came into being, which is the only open-source deep learning framework with independent intellectual property rights in our country. In this framework, the aggregation of more AI scientists, architects, AI enthusiasts, set up regular games, to provide rich real d

Getting started in depth learning: detailed Ubuntu Paddlepaddle source code compilation installation

Paddlepaddle is a deep learning framework for Baidu Open source, paddle provides the paddle book for those who learn the depth of the introduction of the people is simply convenient. Want to use paddle model training must be installed first, this article mainly detailed records paddle CPU and GPU source code compilation installation. Personally think the source code is the most simple and brutal, and transparent. content installation relies on

Paddlepaddle, TensorFlow, Mxnet, Caffe2, Pytorch five deep learning framework 2017-10 Latest evaluation

, very consistent with the use of Chinese habits, but in the practicality of the API has yet to be further strengthened, I have written a blog to get started Paddlepaddle, have to say, Paddlepaddle Chinese document written very clear, hands-on relatively simple paddlepaddle three lines of code from entry to proficient; The above evaluation is the previous evalua

"Deep Learning Series" with Paddlepaddle and TensorFlow for Googlenet inceptionv2/v3/v4

faster.googlenet Inception V4 Network Structuregooglenet Inception resnet Network Structure Code practices  TensorFlow code in the Slim module has a complete implementation, Paddlepaddle can refer to the previous article written in inception V1 code to write. Summary   This article compares the partial theory, mainly discusses the development of Googlenet's inception module, including the volume integration level and the more general network structu

Install Paddlepaddle (Parallel Distributed deep Learning)

ago 1.848 kb[emailprotected]:/home/hd# sudo docker run-it paddledev/paddle:cpu-demo-latest[emailprotected]:/# Lsbin Dev Home lib64 mnt proc run SRV tmp var Boot etc Lib media opt root sbin sys USR[EMAILNbsp;protected]:/# Note: there exist a error in the Chinese guide provided by Badu. (http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html)$ docker run-it Paddledev/paddlepaddle:latest-cpuShould is replaced by$ docker run-it Paddledev/paddle:cpu-latestYou can also choo

First lesson in deep learning

real case to bring everyone familiar with deep learning, Master deep learning. Each chapter of this tutorial is centered around a real problem, from the background to the use of Paddlepaddle platform for code experiments, to fully understand how the whole problem is solved with deep learning, and then farewell to the paper. Before taking part in the event, I did not think of the number of applicants. See the next enrollment in the group of students t

Word Vector __ Depth Learning

This tutorial comes from an introductory guide to the Deep learning framework paddlepaddle. I did not modify the previous theoretical Knowledge section, is to add their own application in the following examples to facilitate understanding. Word vector This tutorial source code directory in Book/word2vec, first use please refer to Paddlepaddle installation tutorial, for more information please refer to this

Baidu Google Apple of the same direction: the development of the platform of the inevitable and possible

The annual Baidu AI developer Conference is one of the most anticipated technology events in the second half of the year. As the leader of AI enterprises, the trend of Baidu in the development of developers, in the world is affecting the nerves of the industry.At the Baidu AI Developers Conference, there was a very interesting phenomenon. In Baidu Brain 3.0 in addition to open a number of AI capabilities, but also for the first time the chip into the technical system, launched the Baidu Independ

Install Docker/paddle under Linux

Now in the container of Docker test a paddle, in the future may be installed on the computer directly paddle;Install Docker, I do not say here, self-Baidu;The following is the focus, because the image of Docker (Imags) are in the foreign Dockerhub, the domestic network environment does not support Register an account, get the accelerator, as below, there are specific ways to useYou can then install the tutorial with Paddlepaddle https://github.com/

Stanford cs231n 2017 newest Course: Li Feifei Detailed framework realization and comparison of depth learning

for parallel (parallel) tasks. A brief introduction of the depth learning framework Last year we had only the Caffe, Torch, Theano and tensorflow these deep learning frameworks to use; but this year, on this basis, we have added a new Caffe2, Pytorch, TensorFlow, Paddlepaddle, CNDK, mxnet and so on a series of new framework, is called "Blossom." The most commonly used frameworks today are pytorch and TensorFlow, while Caffe and Caffe2 are second. T

Semantic role tagging __ depth Learning

Description Tutorial source code directory in Book/label_semantic_roles, first use please refer to the Paddlepaddle installation tutorial, for more information please refer to this tutorial in the video class. Background Information Natural language analysis technology is roughly divided into three levels: lexical analysis, syntactic analysis and semantic analysis. Semantic role tagging is a way to realize the semantic analysis of shallow layers. In

Deep Learning Framework Paddlepdddle Learning (i) _ depth learning

Paddlepaddle is Baidu Open source of a deep learning framework, according to its official website of the document used to learn.This article describes its installation.-Operating systemThe official website document uses the operating system is ubunt14.04, I use is the VMware Workstation player installs the Ubuntu virtual machine, it and redhat some different, but the configuration is troublesome, the DNS configuration and the resolution reference some

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