As artificial intelligence (AI) technology advances, so does the ability to generate incredibly realistic computer-generated images. This raises an important question: can facial recognition ...
Diffusion probabilistic models are an exciting new area of research showing great promise in image generation. In retrospect, diffusion-based generative models were first introduced in 2015 and ...
In the previous post in this series, we showed how to use pre-trained models in Keras to perform image classification. Here we will explore additional options for leveraging pre-trained models with an ...
Welcome to the second part of our series on vision transformer. In the previous post, we introduced the self-attention mechanism in detail from intuitive and mathematical points of view. We also ...
The just concluded 2022 was an incredible year for many advances in artificial intelligence. Most of the recently celebrated landmarks in AI have been driven by a particular class of models called ...
In deep learning, training a model is not the final step. Be it image classification or object detection, a deep learning project becomes worthwhile only when it reaches the masses. That's where ...
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.
