Released 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 14m | Size: 408 MB
Deep learning and image recognition is everywhere, from unlocking phones to tagging friends in photos. Learning how it works is critical for anyone working in tech today, especially if you want to stay ahead of the curve, sharpen your skills, and prepare to innovate. Join instructor Isil Berkun as she shows you how to make computers recognize images, how to prepare pictures for AI, and how to build systems that can tell who's who. Along the way, learn about what to avoid and what to do when common problems arise. By the end of this course, you'll be prepared to build image recognition models and start exploring how to make AI more creative with images.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Using GitHub Codespaces with this course" video to learn how to get started.
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Deep Learning: Image Recognition (2024)
