State-Of-The-Art Text to Image Generation using DALL-E
DALL-E - Creating images from text Code - openai/DALL-E: PyTorch package for the discrete VAE used for DALL·E. Paper -…
How-to
Training Object Detectors using TensorFlow Object Detection API
Machine learning algorithms are everywhere around you. The recommendations you receive on youtube, estimation of commute time, face detection in…
Zero to Hero: A Quick Guide to Object Tracking: MDNET, GOTURN, ROLO
In today's article, we shall deep dive into video object tracking. Starting from the basics, we shall understand the…
Using gpus Efficiently for ML
In this blog post, we will look into how to use multiple gpus with Pytorch. We will see how to…
Who’s Who of Deep Learning Eco-System
Alexnet, which started the deep learning revolution, was loosely based on a network architecture(LENet) proposed by Yann Lecun in 1998.…
Intro to AI and Machine Learning for Technical Managers
In 2013, Google acquired a company called DeepMind for 400 Million dollars. DeepMind at the time had no product…
Human pose estimation using Deep Learning in OpenCV
I recently came across a very interesting use-case of computer vision and AI. Runners Need is a UK based sports shoe…
Introduction to Generative Adversarial Network
Artificial Intelligence has improved quite a lot in the last decade. By improvement I mean we're able to do things…
Detailed Guide to Understand and Implement ResNets
ResNet is one of the most powerful deep neural networks which has achieved fantabulous performance results in the ILSVRC 2015…
Developer Guide to Key Differences between Python 2 and 3
The Python 3 programming language was released in December 2008 and served as the next version intended to improve upon…