Mathematical Foundations for Batch Normalization Fusion

Enable Parallelized Non-Autoregressive Decoding Process for Sequence to Sequence Tasks

Understand Autoregressive Models for Sequence to Sequence Tasks

Common Detection Evaluation Metric

Mathematical Foundations to Neural Network Pruning

PyTorch Pruning for Creating Sparse Neural Networks

Running Machine Learning Inference as Service from Scratch

ONNX Runtime C++ Inference Example

Some Intuitions to Training Generative Adversarial Networks

Mathematical Foundations to Neural Network Quantization

PyTorch Distributed Training for Dummies

Gated Linear Units and Gated CNN Explained