When it comes to writing optimized code, image loading plays an important role in computer vision. This process can be a bottleneck in many CV tasks and it can often be the culprit behind bad ...
This is a a gentle introduction to federated learning --- a technique that makes machine learning more secure by training on decentralized data. We will also cover a real-life example of federated ...
Imagine, one day you have an amazing idea for your machine learning project. You write down all the details on a piece of paper- the model architecture, the optimizer, the dataset. And now you just ...
We all remember those awesome childhood days when we use to go to amusement parks or county fairs. One of my favorite elements of these amusement parks was the fun-house mirror room. Funny mirrors ...
Back in 2012, a neural network won the ImageNet Large Scale Visual Recognition challenge for the first time. With that Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton revolutionized the area of ...
In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...
We hate SPAM and promise to keep your email address safe.
Empowering innovation through education, LearnOpenCV provides in-depth tutorials, code, and guides in AI, Computer Vision, and Deep Learning. Led by Dr. Satya Mallick, we're dedicated to nurturing a community keen on technology breakthroughs.
