This blog post is about a small script which I have written which will help you to understand basic concepts of Reinforcement Learning. Recently, I came across a talk by Richard Sutton at Microsoft titled - "Tutorial: Introduction to Reinforcement Learning with Function Approximation". In this tutorial, he demonstrates a tool which was written in … Continue reading Reinforcement Learning Game →

This blog post gives a short and beginner friendly introduction to YOLO algorithm. Please read the post, comment your views and subscribe the blog 🙂 YOLO (You Only Look Once) is an amazingly fast object detection computer vision architecture. It was presented in CVPR 2016. Check out this amazing video by authors of Yolo's paper … Continue reading An Introduction to YOLO (You Only Look Once) →

Mask RCNN is a simple, flexible, and general framework for object instance segmentation. Before we move towards Mask RCNN, Let's understand instance segmentation. Instance segmentation is the task in which the model detects and delineates each distinct object of interest that appear in the image. In Instance Segmentation the model Identifies each object instance of each … Continue reading Introduction to Mask RCNN →

Step by step process to start with Google Colab - Go to https://colab.research.google.com/ and sign in with your gmail account. After the above steps you will get a screen like the following - The next step is to click on New Python3 Notebook here - Now we can select our run time - After we click … Continue reading Getting started with Google Colab →

This blog post is about how to write a basic deep neural network in Cpp Pytorch. I was wondering last weekend that how to train a Deep Neural Network using only Pytorch/TensorFlow C++. I know why we prefer python, because it is super easy to prototype in python. Python frontend of Pytorch or even Tensorflow … Continue reading Pytorch Cpp Tutorial →

I know how it feels you are sitting at the bank of the river and thinking whether to jump or not. It gets terrible when you don't know how to swim. i was in a similar situation. It was couple of years ago when I was talking to my friends in IIT, some working in … Continue reading How to learn machine learning for free? →

Ever wondered if we could build a deep learning neural network which can predict whether your research paper will be submitted or not in the conference? If yes, then I am sure this blog will be an interesting read. I was recommended an interesting paper a couple of months ago and the following blog will … Continue reading Will your CVPR/ICML paper be accepted? →

It is useful to know how much work a thread has completed. Following are a few ways in which you can achieve this. I was reading through stackoverflow and then I stumbled upon this question - https://stackoverflow.com/questions/55192979/how-to-track-progress-of-job-worker-threads-when-threads-are-initiated-from-a-jo/55193043#55193043 You can read my answer there as well and upvote if the answer helps! 🙂 Now the question … Continue reading Python threading status tracker →

CUDA is becoming one of the essential tools to learn. It is going to help you even you are not in Deep Learning world. Gaming industry, Finance Industry and even there are databases which runs on GPU. In this blog post we will try to get started quickly with CUDA. At the end of the … Continue reading Hello world with CUDA →