A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods and Hardware.

Introduction

In my last post, we trained a convnet to differentiate dogs from cats. We trained the convnet from scratch and got an accuracy of about…

What are the “Capsules” in Capsule Neural Networks? This post will give you first the complete intuition and insights you need from it…

This time, SSD (Single Shot Detector) is reviewed. By using SSD, we only need to take one single shot to detect multiple objects within the…

Reference

My first steps into the world of A.I. (Part 6)

From a long time we have thought of how we could harness the amazing gift of vision because we could achieve greatness to new heights and…

PATRICK WINSTON: It was in 2010, yes, that’s right. It was in 2010. We were having our annual discussion about what we would dump fro 6034…

How we built our end-to-end speech-to-text translation system for the IWSLT 2018 evaluation campaign.

This the second part in a series documenting how our team went from a stakeholder requirement to a scalable solution in production. The…

This is my first article on any thing to do with Neural Networks and I’m super excited to share what I have learnt so far. Lets dive in

Building even a simple neural network can be confusing task and upon that tuning it to get a better result is extremely tedious. But, the…

I tried introducing how learning happens on a Neural Network. Please leave a comment about it or about something else that you would want…

Let’s go over some of the powerful Convolutional Neural Networks which laid the foundation of today’s Computer Vision achievements…