PinnedRaymond KwokExperiment Results for the Forward-Forward Algorithm with a New Negative Data Approach in…Git Repo included.10 min read·Feb 26, 2023----
Raymond KwokExplain, implement and compare 2D Transposed Convolution in Numpy, Tensorflow and PytorchAnd why it is called transposed convolution8 min read·Jan 15, 2023--1--1
Raymond KwokGNN notes series — Explain Graph Convolutional Networks (GCN) with knowledge in CNNHow GCN is similar and different from CNN?7 min read·Oct 6, 2022--1--1
Raymond KwokinAnalytics VidhyaModeling customer conversion with causalityExploring causality in feature selection5 min read·Mar 18, 2021--1--1
Raymond KwokinAnalytics VidhyaViterbi algorithm for prediction with HMM — Part 3 of the HMM seriesHow the best hidden state chain is obtained from all possible ways? Prediction using HMM and the Viterbi Algorithm5 min read·Jul 21, 2019--3--3
Raymond KwokinAnalytics VidhyaBaum-Welch algorithm for training a Hidden Markov Model — Part 2 of the HMM seriesHow to train a Hidden Markov Model and use it for filtering and smoothing?7 min read·Jul 21, 2019--2--2
Raymond KwokinAnalytics VidhyaHidden Markov Model — Part 1 of the HMM seriesHow is it structured and what to do with it?7 min read·Jul 21, 2019--3--3
Raymond KwokinAnalytics VidhyaRecommendation System for E-commerce customers — Part III (Hybrid)Explained with codes6 min read·Jul 11, 2019----
Raymond KwokinAnalytics VidhyaRecommendation System for E-commence customers — Part II (Collaborative filtering)Collaborative Recommender Systems explained with Python code7 min read·Jul 11, 2019--1--1
Raymond KwokinAnalytics VidhyaRecommendation System for E-commence customers — Part I (Content-based Recommendation)Explained with codes7 min read·Jul 10, 2019----