Final Thoughts

A retrospective on this course

Drawing from the course lessons and looking back over the course objectives, you should now be able to:

• Distinguish between different face-related technologies.

• Explain the processes involved in facial analysis and facial recognition.

• Instead of using online services and off-the-shelf programs for manipulating facial images, you can exploit the expanded utilities to enhance productivity and increase privacy.

• Develop reliable end-to-end solutions for virtual face makeovers or facial recognition.

• Get acquainted with cutting-edge machine learning algorithms that can get age, gender, emotion, and race estimations from a facial image.

The utilities covered in this course are readily available for production rollout. We hope that it will increase your overall productivity and end-product quality.

Course reflections

The experience you’ve gained from this course will undoubtedly sharpen your skills and give you a leg up on these new and advanced technologies. You’re now well acquainted with the leading tools that you’ll need to develop full-blown face-related applications using the Python programming language. You’re now well prepared to transform the knowledge you accumulated throughout this journey into effective actions.