Recursion, Dynamic Programming, and Linear Programming

MLE VS MAP

Verification of Convex Functions using Hessian Matrix

Some Intuitions to Training Generative Adversarial Networks

Approximate Algorithm for Finding Roots to Real-Valued Function

Conventional Classification Loss Functions Elucidated

Model Optimization with Genetically Evolved Hyperparameters

A Review on the Classic Word2Vec Models

Orchestrated Softmax for Fast Language Model Training

Regularization for Classification Models