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[D] Seeking feedback on my ML tutorial for a non-technical audience

I have the opportunity to give a 45-min ML tutorial to a non-technical audience, and this is what I’m planning. I’d really appreciate any feedback / comments. Thanks!

Part 1: What is a neural network? (15 mins) – I’ll either show this video or give a similar walkthrough

Part 2: Build your own neural network in 15 minutes! (15 mins) – I’m going to create a Jupyter notebook on Google Colab, using Keras to build a model for MNIST in as few lines of code as possible. – During the session, I will share the Colab link with the audience and we’ll walk through the steps together. – Question: Is there any way to incorporate some interactive image drawing capability into Colab such that the audience can draw a digit with their mouse and get a model prediction?

Part 3: Demo some other cool image recognition models (5 – 10 mins) – The goal here is to demonstrate the power of some readily available models such as Imagenet, and the fact that I can easily run these models in minutes. I will ask the audience to share images with me and run them through the model. – I’ll close with a brief discussion of how easy it is to get these models into production, enabling users to build their own apps, etc.

Part 4: Q&A (5 – 10 mins)

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.