Deep Learning

The business value of computer vision lies in its ability to enhance revenue, reduce costs, boost productivity, and drive innovation.

Explore how computer vision is transforming hospitality industry by enhancing customer experiences in hotels to improving security in casinos.

FCOS (Fully Convolutional One-Stage Object Detection) is an anchor-less object detection model that provides unique features.

Large Action Models (LAMs) are revolutionizing AI by understanding language, reasoning, and taking action. This guide explores LAMs, their capabilities, and how they'll transform various

This comprehensive guide walks you through the entire data science process, including data acquisition, preparation, exploration, and modeling.

Explore the concept of liquid neural networks, how they compare to traditional neural networks, and their applications.

The Xception model is a Computer vision model that utilizes depthwise separable convolution and is a successor of Inception architecture.

Text annotation labels and tags textual data for NLP model training in sentiment analysis, entity recognition, language translation, and more

Neural Radiance Fields (NeRFs) are a deep learning technique that is revolutionizing the way we represent and interact with 3D scenes. Discover the core concepts

GoogLeNet is an Image Classification model that is made by stacking Inception Modules. Released in 2014, it surpassed previous benchmarks.

Spatio-Temporal Action Recognition encompasses the complex task of understanding actions in videos, including what action is happening and when and where it occurs.

MobileNet, introduced in 2017 by a team of researchers at Google, is a Deep Learning model for Smartphones, IoT, and embedded devices.