SolomonWhy Negative Gradient in Gradient DescentGradient descent is widely used to find parameters of a model using loss function and the objective is to travel from random location to…Nov 29, 2022Nov 29, 2022
SolomonRegularization IllustratedThis blog explains the effect of different regularization on data which is imbalanced and data which has noise.Sep 19, 2022Sep 19, 2022
SolomonSetup Tensorflow environment with CUDA, GPU Support for NVIDIA GPUCreate conda environment and activate the environment: Ref —…Aug 23, 2022Aug 23, 2022
SolomonActivation functionsActivations functions are the building blocks of neural network to introduce non linearity and learn data patterns. In this blog, we will…Aug 23, 2022Aug 23, 2022
SolomonCANET — Architecture and Code from scratchIn previous article , we have discussed what are the motivations behind creating CANET architecture, in this article, we can go through…Aug 10, 20221Aug 10, 20221
SolomonAttention-guided Chained Context Aggregation (CANET)-OverviewThis article is continuation of my previous article on Image Segmentation here, i will go through the CANET Paper — where the authors…Jul 6, 2022Jul 6, 2022
SolomonImage Segmentation for Self Driving Car using UNET/CANETBusiness ObjectiveJun 29, 2022Jun 29, 2022
SolomonModel DriftModel drift is change in pattern of features and labels after the deployment compared with the features and labels that we used to train…Jun 23, 2022Jun 23, 2022
SolomonTransformers — Attention is all you needThis article describes in what way Transfomers help sequence to sequence data to capture the essence of sequence by the idea of dot product…May 19, 2022May 19, 2022
SolomonBoostingThis article gives an idea and high level implementation of Boosting in layman terms, which will kick start to read/view more formulated…Apr 9, 2022Apr 9, 2022
