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描述
Caffe,全称Convolutional Architecture for Fast Feature Embedding。是一种常用的深度学习框架,主要应用在视频、图像处理方面的应用上。 中文名 卷积神经网络框架 外文名 Caffe 实 质 一种学习框架 特 点 清晰,可读性高,学习快速 caffe是一个清晰,可读性高,快速的深度学习框架。作者是贾扬清,加州大学伯克利的ph.D,现就职于阿里巴巴,担任技术副总裁岗位,领导大数据计算平台的研发工作 [1] 。caffe的官网是http://caffe.berkeleyvision.org/。
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