Computing the utilization rate for multiple Neural Network architectures.
Algorithms, Free Full-Text
How to Measure FLOP/s for Neural Networks Empirically? – Epoch
NVIDIA Clocks World's Fastest BERT Training Time and Largest Transformer Based Model, Paving Path For Advanced Conversational AI
How to Measure FLOP/s for Neural Networks Empirically? – Epoch
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data
Multi-objective simulated annealing for hyper-parameter optimization in convolutional neural networks [PeerJ]
How to Measure FLOP/s for Neural Networks Empirically? – Epoch
Trends in the Dollar Training Cost of Machine Learning Systems – Epoch
Convolutional neural network-based respiration analysis of electrical activities of the diaphragm
Effect of batch size on training dynamics, by Kevin Shen, Mini Distill
When do Convolutional Neural Networks Stop Learning?
How to calculate the amount of memory needed for a deep network - Quora
Algorithms, Free Full-Text
How to measure FLOP/s for Neural Networks empirically? — LessWrong
Frontiers Backpropagation With Sparsity Regularization for Spiking Neural Network Learning