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…2 min read·Nov 29, 2022----
SolomonRegularization IllustratedThis blog explains the effect of different regularization on data which is imbalanced and data which has noise.2 min read·Sep 19, 2022----
SolomonSetup Tensorflow environment with CUDA, GPU Support for NVIDIA GPUCreate conda environment and activate the environment: Ref —…2 min read·Aug 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…4 min read·Aug 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…4 min read·Aug 10, 2022--1--1
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…5 min read·Jul 6, 2022----
SolomonImage Segmentation for Self Driving Car using UNET/CANETBusiness Objective3 min read·Jun 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…4 min read·Jun 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…5 min read·May 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…4 min read·Apr 9, 2022----
