Deep Learning: masked face detection, recognition | Data Science Online Course by Udemy

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SSD face and facial mask detection, MTCNN face detection, and train your own model to recognize faces even with masks

An excellent training about Data Science

Deep Learning: masked face detection, recognition

Deep Learning of artificial intelligence(AI) is an exciting future technology with explosive growth. Masked face recognition is a mesmerizing topic which contains several AI technologies including classifications, SSD object detection, MTCNN, FaceNet, data preparation, data cleaning, data augmentation, training skills, etc. Nowadays, people are required to wear masks due to the COVID-19 pandemic. The conventional FaceNet model barely recognizes faces without masksEven the FaceID on iPhone or iPad devices only works without masks. In this course, I will teach you how to train a model that works with masks. In the final presentation, you will be able to very proudly perform the real time face detection, face mask detection, and face recognition, even with masks! Windows is the operating system so you will not need to learn Linux first.I will instruct you to install Python, Tensorflow, and Pycharm IDE from scratch. Having basic Python and Tensorflow knowledge will be an advantage, but if not, I will have a quick guide to both for you. In my tutorials, I would like to explain difficult theories and formulas by easy concepts or practical examples. Model training always takes a lot of time. Take this project as an example, it needs more than 400,000 images to train. I’ve spent much time on training skills. After numerous experimental confirmation, I summarized my methods by plots to let you digest easily. These training skills can be not only applied in face recognition but also in other models. All lectures are spoken in plain English. If you feel my speaking pace is quite slow, you can use the gear setting to speed up. The auto-generated captions may have errors. I will review and correct them. Achievement from the topic, skills grow from the project. I hope you enjoy the fun of AI.

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