By A Mystery Man Writer
Computing the utilization rate for multiple Neural Network architectures.
What can flatness teach us about why Neural Networks generalise?, by Chris Mingard
Extrapolating GPT-N performance — AI Alignment Forum
Convolutional neural network-based respiration analysis of electrical activities of the diaphragm
How to measure FLOP/s for Neural Networks empirically? — LessWrong
Sensors, Free Full-Text
How to Measure FLOP/s for Neural Networks Empirically? – Epoch
ICLR 2021
How to calculate the amount of memory needed for a deep network - Quora
How to measure FLOP/s for Neural Networks empirically? — LessWrong
What's the Backward-Forward FLOP Ratio for Neural Networks? – Epoch
1812.03443] FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Differentiable neural architecture learning for efficient neural networks - ScienceDirect
Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction
Applied Sciences, Free Full-Text
Empirical evaluation of filter pruning methods for acceleration of convolutional neural network