Introduction
Neural networks are systems designed to mimic the human brain. They consist of interconnected neurons or nodes. These nodes work together to interpret data...
What are vector embeddings?
Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types. Through...
Simonyan, K. & Zisserman, A. Very deep convolutional networks for large-scale image recognition. In 3rd International Conference on Learning Representations 1–14 (ICLR, 2015).Wang, G....
Introduction
When it comes to image classification, the nimble models capable of efficiently processing images without compromising accuracy are essential. MobileNetV2 has emerged as a...
Introduction
Convolutional Neural Networks (CNNs) have been key players in understanding images and patterns, transforming the landscape of deep learning. The journey began with Yan...
Introduction
LeNet-5, a pioneering convolutional neural network (CNN) developed by Yann LeCun and his team in the 1990s, was a game-changer in computer vision and...
