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Splitting Convolutional Neural Network Structures for Efficient Inference
For convolutional neural networks (CNNs) that have a large volume of input data, memory management becomes a major concern.
Modeling Neural Architecture Search Methods for Deep Networks
There are many research works on the designing of architectures for the deep neural networks (DNN), which are named neural architecture search (NAS) methods.
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