By A Mystery Man Writer
Computing the utilization rate for multiple Neural Network architectures.
How to calculate the amount of memory needed for a deep network - Quora
Mathematics, Free Full-Text
Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation - ScienceDirect
Training error with respect to the number of epochs of gradient
SiaLog: detecting anomalies in software execution logs using the siamese network
FLOPS in Neural Networks
How to Measure FLOP/s for Neural Networks Empirically? – Epoch
Frontiers Bio-mimetic high-speed target localization with fused frame and event vision for edge application
How to measure FLOP/s for Neural Networks empirically? — LessWrong
The flip-flop neuron: a memory efficient alternative for solving challenging sequence processing and decision-making problems
What can flatness teach us about why Neural Networks generalise?, by Chris Mingard