PinnedShashank KumarinTowards Data ScienceAI for painting: Unraveling Neural Style TransferThe post discusses the mathematics behind neural style transfer, an algorithm that helps make artistic changes to images.11 min read·Feb 5, 2022----
PinnedShashank KumarinTowards Data ScienceImage Segmentation, UNet, and Deep Supervision Loss Using Keras ModelDeep CNNs used for segmentation often suffer from vanishing gradients. Can we combat this by calculating loss at different output levels?12 min read·Sep 28, 2022----
Shashank KumarinTowards Data ScienceWhy WGANs beat GANs: A journey from KL divergence to Wasserstein lossWasserstein distance helps WGANs outperform vanilla GANs and VAEs. This post explains why so using some easy math.7 min read·Jan 12, 2023----
Shashank KumarinTowards Data ScienceHow to de-blur images without training neural networksAre you bad at photography and click blurry pictures? This post is a guide on how to use Fourier transform to unblur images.8 min read·Nov 29, 2022----
Shashank KumarinTowards AIEvaluating Mode Collapse in GANs Using NDB ScoreGANs frequently slip into the fathomless pit that is mode collapse. Let’s learn to quantitatively track it using NDB score.6 min read·Nov 17, 2022----
Shashank KumarinTowards Data ScienceWhat can Kevin Durant teach about the probability of a probability?Let’s use Kevin Durant’s three-point stat line from last Sunday’s game to understand beta distributions.7 min read·Jun 17, 2021----
Shashank KumarinTowards Data ScienceChi-squared tests to compare two machine learning models and determine whether they are random8 min read·May 18, 2021--1--1
Shashank KumarinCantor’s ParadiseFermat, Descartes, and The Dawn of Differential CalculusBackground6 min read·May 17, 2021----
Shashank KumarinTowards Data ScienceA very Bayesian interpretation of decision trees and other machine learning algorithms4 min read·May 13, 2021----
Shashank KumarinTowards Data ScienceBuilding the optimization problem of maximum margin classifiersBackground8 min read·Apr 2, 2021----