Introducing Terminator Vision!
Using ResNet-50, I trained an image classifier and deployed it on Zeit so Terminator can now SEE and detect its 4 greatest threats - Elon Musk, Jeff Bezos, Jon Snow, and John Connor! Humanity’s fate is in the hands of these leaders
To help people visualize the architecture of a CNN and understand some of the “under the hood” math, you can check out these spreadsheets and blog post I wrote:
Elon in Excel (<–See Math Calcs of Forward Pass:)
Visual overview of CNN architecture:
Big shout out and special thanks to @navjots for helping me with the Zeit deployment. As a professional spreadsheet slinger (work in finance) who knows “just enough” Python to get by, I’m incredibly grateful to @jeremy /@rachel’s mission to make machine learning accessible to people of all backgrounds and this community’s willingness to support each other.
Clean Up + Share - Clean up notebook & share repo on Git Hub (my 1st ever! )
Fine Tune + Experiment - Update weight decay parameter, further learning rate experimentation, etc.
Prune image dataset & automate - Using the Fatkun batch image downloader, I used ~750 images for training (600 for training set, 150 for validation) and got to ~97% accuracy (4 losses below are reasonable…I should have removed the “actor” who played the child John Connor)