My Journey started on the first week of July when I was employed at Here Technologies as a developer intern. Here Technologies is the company who created the first ever digital map around 35 years ago. …

Convolutional Neural Networks are used for computer vision projects and can be used to automatically extract features from inputs like photos and videos. …

In mid-2016, researchers at MIT demonstrated that CNNs with GAP layers (a.k.a. GAP-CNNs) that have been trained for a classification task can also be used for object localization. That is, a GAP-CNN not only tells us what object is contained in the image — it also tells us where the…

Dilated Convolution is more like exploring the input data points in a wide manner or increasing the receptive field of the convolution operation. In simple terms, dilated convolution is just a convolution applied to input with defined gaps. With these definitions, given our input is an 2D image, dilation rate…

Introduction to Graphs In order to understand an algorithm, we need to understand the context of it. Dijkstra’s Shortest Path Algorithm also needs a context for it to be explained. The concept being ‘graphs’. Graphs are data structures that show “connections” between two or more items. Nodes are the name for these elements…

The COVID-19 pandemic came and detrimentally affected our lives in numerous ways. We could not even go to shops and buy our daily needful due to the fear embedded in us. When the breakdown point came, people started violating rules of social distancing. Citizens near my house were standing close…