HUM MDA AI TCH CH Chwmwei Machine Learning Algorithms with Python: Perceptron Original and Dual Form The Perceptron algorithm, a foundational binary linear classifier, can be expressed in two primary forms: the Original (Primal) form and…
CH Chwmwei Manual Derivation Series: Active Contour Model (Snake Model) and Python Implementation The Active Contour Model, also known as the Snake Model, is a powerful image processing technique used to detect and track object…
CH Chwmwei Manual Derivation Series: Level Set (CV Model) and Python Implementation The Snake model has several drawbacks:
HUM ART AI CH Chwmwei Manual Derivation Series: Cross Entropy Loss, Backpropagation and Adam in Fashion MNIST Fashion MNIST is a popular machine learning dataset and serves as an alternative to the classic MNIST handwritten digit dataset. This case…
HUM AI CH Chwmwei Manual Derivation Series: Recurrent Neural Network(SRNN) Back Propagation Recurrent Neural Networks (RNNs) are a class of deep learning models specifically designed to process sequential data (such as text…
HUM AI TCH CH Chwmwei Manual Derivation Series: EM Algorithm and Gaussian Mixture Model EM (Expectation-Maximization) algorithm’s core idea is very simple, consisting of two steps: Expectation-Step and Maximization-Step. The…
MDA HUM AI TCH CH Chwmwei Reading Notes CH06: Logistic Regression and Maximum Entropy models in machine learning Both Logistic Regression (LR) and Maximum Entropy (MaxEnt) models belong to the class of Log-Linear Models. Common optimization algorithms…
TCH AI DSN CH Chwmwei Manual Derivation Series: Bias-Variance Decomposition, Adaboost, Boosting Tree and GDBT Bias-Variance Decomposition: The generalization error of a model f can be decomposed into three components: bias, variance, and noise.
SCI CH Chwmwei Manual Derivation Series: Matrix Factorization techniques->NMF, PCA, and VQ They are general mathematical tools for matrix dimensionality reduction, which are then applied to images by treating images as…
CH Chwmwei Manual Derivation Series: Fourier Transform Fourier’s idea was to represent a periodic function as a linear combination of many sine functions.
HUM LIF AI CH Chwmwei Manual Derivation Series: Cosine Similarity in Clustering and SVD Exercise For clustering analysis can man also use cosine similarity except distance.
AI CH Chwmwei Deploy a Local Voice Agent on Your PC (Free & Safe) This small demo project wires together three “agents” to build an end‑to‑end voice assistant that runs entirely on your local PC: