Baidu Open Sources Its Deep Learning Platform PaddlePaddle
The software will be released on GitHub on Sept. 30
Taking a cue from some of its U.S. peers like Google, Chinese Internet search giant Baidu has decided to open source its deep learning platform. The company claims that the platform, code-named PaddlePaddle after PArallel Distributed Deep LEarning, will let developers focus on the high-level structure of their models without having to worry about the low-level details. A machine translation program written with PaddlePaddle, for example, requires significantly less code than on other popular deep learning platforms, said Baidu spokeswoman Calisa Cole.
The PaddlePaddle platform has been used in-house by Baidu to develop products and technologies for search ranking, large-scale image classification, optical character recognition, machine translation and advertising, Baidu said. The company will release the software with documentation and specs to GitHub on Sept. 30, under an Apache open source license. A pre-release Alpha version is already available.
Google announced in November last year the open source release of TensorFlow, its second-generation machine learning system. Microsoft has also released under an open source license a deep learning toolkit called Computational Network Toolkit (CNTK) that describes neural networks as a series of computational steps through a directed graph. Facebook has also released to the open source community some of its deep learning software...
- Tags:
- Alpha
- Apache open source license
- Baidu
- Calisa Cole
- central processing units (CPUs)
- Computational Network Toolkit (CNTK)
- deep learning
- Github
- graphic processing units (GPUs)
- John Ribeiro
- machine translation program
- Microsoft
- open source
- open source software (OSS)
- PaddlePaddle
- PArallel Distributed Deep LEarning
- TensorFlow
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