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Found 3 papers, 1 papers with code
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
The recent success of neural networks for solving difficult decision tasks has incentivized incorporating smart decision making "at the edge."
Low Rank Training of Deep Neural Networks for Emerging Memory Technology
The recent success of neural networks for solving difficult decision tasks has incentivized incorporating smart decision making "at the edge."
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
We propose a method of training quantization thresholds (TQT) for uniform symmetric quantizers using standard backpropagation and gradient descent.
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