Chamuditha Kekulawala·Nov 23, 2025Sparse Coding and Probabilistic Representation LearningIn part 1, we gave an introduction to Representation Learning and a brief overview on it’s 2 main paradigms. Here we will talk about the…
Chamuditha Kekulawala·Nov 21, 2025Introduction to Representation LearningThe performance of a model is heavily dependent on the choice of data representation (or features) on which they are applied. For that…
Krishna Pullakandam·Sep 12, 2023Uncovering Insights through Sparse Coding: A Deep Dive into Efficient Data RepresentationIn the realm of machine learning and data analysis, the quest for meaningful data representation is a fundamental pursuit. Enter “Sparse…
Shubham Urkade·May 5, 2023Understanding Sub-Linear Deep Learning EngineAnybody working in the field of ML/Data science is quite aptly aware of the increasing size of the models which ultimately increases the…
