Make Your Own AI Tank Detecting Model

Ready to demystify the world of AI? In this video, we dive into the practical aspects of building your very own AI model to detect military tanks. We kick things off by explaining the basics of how AI 'sees' and why convolutional neural networks (CNNs) are the go-to for image recognition. You'll get an up-close look at the RGB pixels that make up an image and how they transform into data points that a machine can understand. Next, we introduce you to Jeremy Howard's revolutionary course, 'Practical Deep Learning for Coders,' and guide you through setting up Jupyter Notebooks on Kaggle. Using the FastAI library, we'll fine-tune a pre-trained ResNet18 CNN model with just 200 images! The best part? All of this can be done for free and in a matter of minutes. This video aims to empower acquisition professionals with the know-how to better manage, acquire, and understand AI-driven systems. Say goodbye to the notion that AI is only for the tech elites; it's time to make AI practical for everyone.

If you would like to watch the "How AI Learns to See" videos, those can be found here: https://media.dau.edu/media/t/1_xvztjh10 and here: https://media.dau.edu/media/t/1_4k58zfye

The link to a course playlist of DAU recommended AI courses is: https://dau.csod.com/ui/lms-learner-playlist/PlaylistDetails?playlistId=00118adb-20e1-4dc5-95a8-9ffd03ab7f70

You will need a DAU account to access these resources. If you are a DoD member and need a DAU account you can request one here: https://www.dau.edu/faq/p/New-DAU-Account

Referenced course, "Practical Deep Learning for Coders", can be found here: https://course.fast.ai/