With millions of trainable parameters, neural networks have long been considered black boxes. They can produce stunning results, and we often accept the output with very little understanding as to why ...
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3D LiDAR Visualization using Open3D: A Case Study on 2D KITTI Depth Frames for Autonomous Driving
3D LiDAR sensor (or) 3-dimensional Light Detection and Ranging is an advanced light-emitting instrument that has the ability to perceive the real-world in a 3-dimensional space, just as we humans do. ...
Fine-Tuning BERT using Hugging Face Transformers
Fine-tuning BERT can help expand its language understanding capability to newer domains of text. What sets BERT apart is its ability to grasp the contextual relationships of a sentence, understanding ...
BERT: Bidirectional Encoder Representations from Transformers – Unlocking the Power of Deep Contextualized Word Embeddings
BERT, short for Bidirectional Encoder Representations from Transformers, was one of the game changing NLP models when it came out in 2018. BERT’s capabilities for sentiment classification, text ...
Advanced Driver Assistance Systems (ADAS): Empowering Drivers
As vehicular technology continues to evolve at a rapid pace, the push towards safer, smarter, and more efficient driving experiences has been at the forefront of automotive innovation. Advanced Driver ...
Facial Emotion Recognition: Decoding Expressions
Facial Emotion Recognition (FER) refers to the process of identifying and categorizing human emotions based on facial expressions. By analyzing facial features and patterns, machines can make educated ...