Cutting Down Training Memory by Re-fowarding

ICLR 2019 Jianwei FengDong Huang

Deep Neutral Networks(DNNs) require huge GPU memory when training on modern image/video databases. Unfortunately, the GPU memory as a hardware resource is always finite, which limits the image resolution, batch size, and learning rate that could be used for better DNN performance... (read more)

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