Deep Learning: masked face detection, recognition

🎓 Course Title: Deep Learning: Masked Face Detection & Recognition

Unlock the Power of AI in Facial Recognition

Dive into the realm of Deep Learning with our cutting-edge online course, where we tackle the challenge of masked face detection and recognition. In this course, you'll explore the intricacies of artificial intelligence (AI) and learn how to adapt your models to recognize faces even when they're concealed by masks.

Why This Course?

• Innovative Topic: Delve into a field that's at the forefront of AI innovation – masked face detection and recognition, using the latest in SSD object detection and MTCNN technologies.
• Real-World Application: With the COVID-19 pandemic necessitating mask-wearing, this course equips you with essential skills to overcome current limitations in facial recognition technologies.
• Practical Skills: Learn how to preprocess data, clean datasets, augment your data for better model training, and employ these techniques effectively.

Course Highlights

• Comprehensive Learning: Master the end-to-end process of face detection, mask detection, and recognition, even with masks.
• Hands-On Experience: You'll train your own model to handle real-time scenarios on Windows systems – no need for Linux expertise.
• Expert Guidance: I, Johnny Liaocourse instructor, will guide you through complex theories and formulas using easy concepts and practical examples.
• Efficient Training: Learn time-saving methods to accelerate your model training process, reducing the time from days to hours.
• Project-Based Learning: Apply what you learn directly into a project that requires over 400,000 images for training.
• Clear Communication: All lectures are delivered in plain English, and you can adjust the playback speed according to your learning pace.
• Complete Resources: Receive the source code and trained weight files, so you can either train your model from scratch or start with a pre-trained model.

What You'll Learn

• Data Preparation & Augmentation: Techniques to prepare your dataset for training and augment it to improve model performance.
• Model Training Skills: Efficient strategies to reduce training time from hours or days to just minutes or seconds.
• Advanced Face Detection: Learn how to detect faces accurately, even with facial masks.
• Real-Time Application: Implement your learning in real-time scenarios for both face detection and mask detection.
• Face Recognition: Develop models that can recognize individuals' faces while they are wearing masks.

Course Outline

1. Introduction to Deep Learning & Masked Face Detection

   • Understanding the significance of masked face detection in today's context.
   • Overview of AI technologies involved.

2. Data Preparation and Augmentation

   • How to prepare a dataset for training.
   • Techniques for data augmentation to enhance model learning.

3. Model Training & Skills

   • Efficient model training strategies.
   • Tips to speed up the model training process.

4. Advanced Face Detection with Masks

   • Detecting faces with and without masks using SSD object detection.
   • Utilizing MTCNN for accurate facial feature localization.

5. Face Recognition Beyond Masks

   • Techniques to recognize individuals even when they're wearing masks.
   • Implementation of FaceNet for facial recognition.

6. Real-Time Application & Final Project

   • Building a real-time face detection and recognition system.
   • Presenting your project with a live demonstration.

Join Us & Experience AI

Embark on a journey to master one of the most challenging and exciting areas in AI today. With this course, you'll not only enhance your understanding of deep learning but also gain practical skills that will set you apart as an AI practitioner.

Ready to unlock the potential of AI in facial recognition? Enroll now and take the first step towards becoming an expert in masked face detection and recognition! 🚀

Note: This course is designed for individuals who have prior knowledge of Python and TensorFlow. Lectures are provided in plain English, and playback speed can be adjusted to suit your learning preferences. If you prefer not to train the model yourself, the source code and trained weight files are available for use. Enjoy the fun of AI and achieve new heights in your understanding and application of deep learning! 🌟