CAFFE (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. It is written in C++, with a Python interface. - read more on Wikipedia
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4h
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video
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Build^ train^ and deploy your models using the speed and efficiency of Caffe and get future-ready in the world of Deep Learning
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