https://sylvanb.dev/blog/course/ Recent content in course on goldsoulsylvan Hugo -- gohugo.io en-us Copyright © 2020, Sylvan B. Thu, 29 Aug 2024 13:53:59 +0100 https://sylvanb.dev/machine-learning-notes-convolutional-neural-networks/ Thu, 29 Aug 2024 13:53:59 +0100 https://sylvanb.dev/machine-learning-notes-convolutional-neural-networks/ Convolutional Neural Networks Say we have a image that is composed of multiple atomic elements, and we want to be able to identifty specific groupings of those elements within a specific image? How could we achieve this through Machine Learning? It turns out there is one approach that can achieve this - Convolutional Neural Networks (CNN). These allow us to take a input image, generate feature maps and given a set of parameters build up combinations of these features to (similarlly to LRs and MLPs), to determine a confidence rate of a specific combination being present in a given image. https://sylvanb.dev/machine-learning-notes-multilayer-perceptron/ Thu, 29 Aug 2024 13:42:57 +0100 https://sylvanb.dev/machine-learning-notes-multilayer-perceptron/ This is a collection of notes I’m taking as I progress through the Introduction to Machine Learning course provided by Duke University at Coursera. This is a working document, it might eventually be split down into multiple documents at some point, but this is largely to aid in my memorisation of key knowledge from this course (and a chance to try out the cool Math and Diagram rendering in Hugo using Mermaid and Latex). https://sylvanb.dev/machine-learning-notes-logistic-regression/ Tue, 30 Jul 2024 10:20:42 +0100 https://sylvanb.dev/machine-learning-notes-logistic-regression/ This is a collection of notes I’m taking as I progress through the Introduction to Machine Learning course provided by Duke University at Coursera. This is a working document, it might eventually be split down into multiple documents at some point, but this is largely to aid in my memorisation of key knowledge from this course (and a chance to try out the cool Math and Diagram rendering in Hugo using Mermaid and Latex).