How to Measure FLOP/s for Neural Networks Empirically? – Epoch

Computing the utilization rate for multiple Neural Network architectures.

Frontiers Backpropagation With Sparsity Regularization for Spiking Neural Network Learning

How to measure FLOP/s for Neural Networks empirically? — LessWrong

The comparison between normalizing importances by FLOPs and memory.

NeurIPS 2023

What's the Backward-Forward FLOP Ratio for Neural Networks? – Epoch

Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras

Sensors, Free Full-Text

Mathematics, Free Full-Text

Papers Explained 85: Scaling Data-Constrained Language Models, by Ritvik Rastogi

CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks - ScienceDirect

PresB-Net: parametric binarized neural network with learnable activations and shuffled grouped convolution [PeerJ]