AI and Remote Sensing in Space MissionsMachine learning (ML) models are deeply integrated into our daily lives and workplaces, influencing everything from billion-dollar…Feb 20Feb 20
Transformer Attention Block, Explained SimplyTwo events in recent years where disruptive in the area of large language models, or LLMs for short. The first one was the publication of…Jun 26, 2024Jun 26, 2024
Published inTDS ArchivePredicting Drug Resistance in Mycobacterium Tuberculosis Using a Convolutional Network — Paper…Neural networks can improve prediction in drug resistance prediction of pathogensMar 20, 2023Mar 20, 2023
Published inTDS ArchiveGenerative Adversarial Networks (GANs), Explained and DemonstratedHow GANs work and how you can use them to synthesize dataDec 30, 2022Dec 30, 2022
Published inTDS ArchiveDecision Trees, ExplainedHow to train them and how they work, with working code examplesMay 8, 2022May 8, 2022
Published inTDS ArchiveCenterNet ExplainedCenterNet is an anchorless object detection architecture.Apr 10, 20212Apr 10, 20212
Published inTDS ArchiveYOLO V3 ExplainedIn this post we’ll discuss the YOLO detection network and its versions 1, 2 and especially 3.Oct 9, 20203Oct 9, 20203
Published inThe StartupObject Detection With Deep Learning: RCNN, Anchors, Non-Maximum-SuppressionObject detection in images is a common task in computer vision. Its use cases vary from missile guidance to automated production lines…Oct 3, 20201Oct 3, 20201
Training Neural Networks Explained SimplyIn this post we will explore the mechanism of neural network training, but I’ll do my best to avoid rigorous mathematical discussions and…Aug 28, 2020Aug 28, 2020
The PerceptronPerceptron is the most basic form of a neural network and therefor a good place to start. Perceptrons are a type of binary classifiers —…Feb 22, 20201Feb 22, 20201