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Squeeze the Memory Consumption of Deep Learning¶ One important theme about deep learning is to train deeper and larger nets. While the hardware has been upgraded rapidly in recent years, the huge deepnet monsters are always hungry about the GPU RAMS. Being able to use less memory for the same net also means we can user larger batch size, and usually higher GPU utilization rate. This article discus
Programming Models for Deep Learning¶ There are a lot of deep learning libraries, each comes with its own flavour. How can each flavour introduced by each library provide advantage or drawbacks in terms of system optimization and user experience? This article aims to compare these flavours in terms of programming models, discuss the fundamental advantage and drawbacks introduced by these model, an
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