Articles
2021
Pruning for Neural Networks
Posted: March 1, 2021 Updated: March 1, 2021

Mathematical Foundations to Neural Network Pruning
2020
Quantization for Neural Networks
Posted: November 1, 2020 Updated: November 1, 2020

Mathematical Foundations to Neural Network Quantization
Principal Component Analysis
Posted: May 17, 2020 Updated: May 17, 2020

Fundamentals to Principal Component Analysis
Gradient Boosting Machine
Posted: January 26, 2020 Updated: January 26, 2020

Fundamental Theories of Gradient Boosting Machine
2019
RSA Algorithm
Posted: November 10, 2019 Updated: November 10, 2019

A Self-Contained Tutorial on RSA Algorithm Theories for Number Theory Noobs
Word2Vec Models Revisited
Posted: August 23, 2019 Updated: August 23, 2019

A Review on the Classic Word2Vec Models
Hierarchical Softmax
Posted: August 17, 2019 Updated: August 17, 2019

Orchestrated Softmax for Fast Language Model Training
Noise Contrastive Estimation
Posted: July 26, 2019 Updated: July 26, 2019

Accelerate the Training of Neural Language Models
Introduction to Variational Inference
Posted: May 25, 2019 Updated: May 25, 2019

Setting Up Foundations to Bayesian Learning
Introduction to Bayesian Filter
Posted: March 21, 2019 Updated: March 21, 2019

Restate Some Basic Concepts and Math in Bayesian Filter
2017
Siamese Network on MNIST Dataset
Posted: October 30, 2017 Updated: December 11, 2017

An introduction to Siamese Network and its implementation on MNIST dataset