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: June 25, 2021

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