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Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks
It is known that training deep neural networks, in particular, deep convolutional networks, with aggressively reduced numerical precision is challenging.
Fixed Point Quantization of Deep Convolutional Networks
In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks.
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