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Updated in [July 27th, 2023]
This course provides learners with the opportunity to learn how to build a face detection model using an Object Detection architecture with Python and Tensorflow. Learners will be guided through the process of collecting images and annotating them, partitioning and augmenting data, building and training a deep learning model, and testing and performing real-time detections. The course also provides learners with the code and links to resources needed to complete the course. Learners are encouraged to connect with the instructor, Nick, on LinkedIn, Facebook, GitHub, and Patreon, as well as join the discussion on Discord.