10.1 Open-Source Frameworks for Deep Learning In this section, we will introduce several typical open-source frameworks for deep learning including Caffe, Theano, TensorFlow, Torch, PyTorch, Keras, and MXNet. In fact, as the rapid development of the deep learning community, these open-source ...
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios. - mindspore-ai/mindspore
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Tang said Megvii hopes its deep-learning framework will become a cornerstone of China's AI development and an integrated part of China's AI infrastructure. Gao Wen, an academician of the Chinese Academy of Engineering, said open-source frameworks are a trend in global AI development. As the s...
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Comparison and Analysis of the Open-Source Frameworks for Deep Learningdoi:10.12783/DTCSE/MCSSE2016/10975Dong-sheng GaoYan-rong ZhaoJing GaoHao WangGao D, Zhao Y, Gao J, et al. Comparison and analysis of the open-source frameworks for deep learning. DEStech Trans Comput Sci Eng. 2017. ...
It has become one of the main frameworks for research in (deep) machine learning. Torch does, however, not provide abstractions and boilerplate code for machine-learning experiments. As a result, researchers repeatedly re-implement experimentation logics that are not interoperable. We introduce ...
Over the past few years, fast.ai has become one of the most cutting-edge, open source, deep learning frameworks and the go-to choice for many machine learning use cases based on PyTorch. It has not only democratized deep learning and made it approachable to gen...
Deep Learning is the hottest trend now in AI and Machine Learning. The paper introduces four mainstream open-source frameworks for deep learning, including Caffe, Tensor Flow, CNTK, Torchnet. And the open-source frameworks for deep learn... Dong-sheng,GAO,Yan-rong,... 被引量: 3发表: 0年...
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch. - fangwei123456/spikingjelly