Caffe Framework

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How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Alibaba Cloud Launches Machine Learning Platform PAI 2.0

During the 2017 YunQi Computing Conference held in Shenzhen, Alibaba Cloud’s Chief Science Officer Dr Jingren Zhou officially launched the updated version of its machine learning platform “PAI 2.0”.

Avoid focusing on underlying hardware, Nvidia binds machine learning to GPU

"Editor's note" Nvidia links GPU to machine learning more closely with the release of the Cudnn library, while achieving direct integration of the CUDNN and depth learning frameworks, allowing researchers to seamlessly utilize the GPU on these frameworks, ignoring low-level optimizations in the deep learning system, Focus more on more advanced machine learning issues. By releasing a set of libraries called CUDNN, nvidia links the GPU to machine learning more closely. It is reported that CUDNN can be directly integrated with the current popular depth learning framework. Nvid ...

Recommended! The machine learning resources compiled by foreign programmers

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

The core technology, application status and development trend of education big data

The big data field has boomed in recent years. As a segment of big data, education big data has great potential to promote educational change. Big data technology is rapidly evolving, which opens up new possibilities for big data applications.

15 major frameworks for machine learning

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

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