PinnedRyan D'CunhaAn IntroductionMy name is Ryan D’Cunha. I’m going into my fourth year at Duke University studying Biomedical Engineering and Computer Science. I’m…May 5May 5
Ryan D'CunhainTowards Data ScienceClassification Loss Functions: Intuition and ApplicationsA simpler way to understand derivations of loss functions for classification and when/how to apply them in PyTorchJun 27Jun 27
Ryan D'CunhainTowards Data ScienceComprehensive Guide to Datasets and Dataloaders in PyTorchThe full guide to creating custom datasets and dataloaders for different models in PyTorchJun 151Jun 151
Ryan D'CunhainAI AdvancesU-Net: The Ultimate Biomedical AI ArchitectureThe ConvNet that revolutionized the biomedical imaging industryJun 32Jun 32
Ryan D'Cunhain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨A Deep Dive into ConvNetsThe bread and butter of Computer Vision: the Convolutional Neural Network. ConvNets are the main network used for anything image-related…May 22May 22
Ryan D'CunhaA Beginners Guide to PyTorch“Theory will only take you so far”. Not sure if Oppenheimer ever intended the quote to apply to Deep Learning, but it fits perfectly!May 153May 153
Ryan D'Cunhain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨Basics of Neural Networks (2) [Preprocessing, Initialization, Loss, and Regularization]Last time I gave a high-level overview of neural networks and the activation functions that govern the layers (found here). While that is…May 9May 9
Ryan D'Cunhain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨Neural Networks as Universal ApproximatorsAn intuitive way of understanding the Universal Approximation TheoremMay 5May 5
Ryan D'CunhaBasics of Neural NetworksThis is my first post on a series of my journey through AI (specifically Deep Learning towards Computer Vision). I’m no AI expert, just a…May 4May 4