Last updated on March 28th, 2024 at 10:03 am
You can say you’re living in an exciting time when a phone can recognize your face; even social media can help you automatically tag your friends without having to look for them. It’s so convenient; no one has to search for a name anymore! Face recognition does the trick.
Modern Face Recognition technology is a marvel of deep learning. As one dives to explore Machine learning and Artificial Intelligence, it becomes easier to understand how facial recognition technology uses deep learning algorithms to identify and match the face with a database. It is here to solve the modern-day problem!
Deep learning enables individuals to use massive datasets of faces to their advantage. It allows one to learn how to represent faces richly and compactly. One has the agency to allow modern models first to perform and even surpass the face recognition capabilities of human beings. If you’re interested in deep learning, you can consider undergoing a Deep Learning Certification Course.
A Deep Learning Certification Course teaches the learner to chain together several machine learning algorithms. Even today, recognizing facial images acquired in an outdoor environment and with changes in illumination pose remains an unsolved problem.
There is a great leap when it comes to detecting faces automatically.
Whether it is face detection, face alignment, feature extraction, or face recognition: all systems have a different module or a program for each step. The thing with deep learning is that it becomes more accurate with increasing databases.
For those planning to pursue a career in deep learning and are intrigued by the modern face recognition features, the fascinating thing about deep learning courses is that it counts data as experienced within their field, and the marvellous thing is that it works like a human brain! It is all about gaining experience with the new datasets and the accumulated past.
Profound learning benefits include presenting factual responses to real-time data and making reliable predictions. The data faceprint is often used and compared with facial recognition software to present factual responses to real-time data.
Hence, modern face recognition relies on four established Deep Learning systems that work together. They are as follows:
- DeepFace has an accuracy of 97.25% and relies on digital images to detect an individual's identity.
- DeepID- is known as reported to be more successful than human beings and is the first model of deep learning developed for facial recognition.
- FaceNET helps in getting state-of-the-art results and is known to use the triplet loss function, resulting in better feature extraction.
- VGGFace is a series of models developed for face recognition and helps recognize faces.
Those interested in Certification in Artificial Intelligence & Machine learning have a chance to upskill themselves and immerse themselves in the latest and ever-evolving face recognition technology.
Get ready to explore deep learning methods and gain an in-depth knowledge of multi-tiered courses and an algorithm that is bent on creating statistical inputs unless one reaches an acceptable level of precision.
So, those who are interested in facial recognition technology can enrol for Certification in Artificial Intelligence & Machine Learning from Imarticus Learning. With deep learning techniques, you can achieve superhuman performance and solve problems related to face recognition.
To enrol in a deep learning certification course that can transform one's future, contact Imarticus Learning through chat support. One can drive to the training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.
Kick-start your career with the program that is the most sought after by technocrats today and can provide you with a well-paying job.
