Category Archives: Deep Learning

Deep Learning at first glance sounds very complicated.What if I tell you, it is not as complicated as you think. This blog will explain to you the basics of how Deep Learning works.You would have to be comfortable with seeing a lot of differential equations and know a little bit of Linear Algebra. Perceptron WhatContinue reading “The Fundamentals of Deep Learning”

Gradient descent is an iterative algorithm for finding a local minimum of a differentiable function. This blog post will be a quick explanation of how it works and its application in deep learning. In deep learning, we have something called a loss function and it is defined by how far off the predictions are toContinue reading “What is Gradient Descent?”

Introduction Natural Language Processing is one of the many branches of computer science that enables the computer’s ability to understand languages. This was my submission for a Kaggle Competition, “Natural Language Processing with Disaster Tweets“. The objective is to determine if a certain tweet is referring to an actual disaster or not. This is aContinue reading “Natural Language Processing (NLP) with Deep Learning”