Google experiment uses PoseNet like pose detection to detection your pose (left image) and then query its dataset for a similar pose (right image). Then it generates a playful animated gif by combining the sequence of images. Some of the right images include random people, celebrities and images from the internet.
Trello
Sublime
Every Google Cloud product explained in 4 words. This is an awesome cheat sheet for Google Cloud Developers. For example, compute engine : virtual machine, disks, network.
UPDATED: The Google Cloud Developer's Cheat Sheet: Every product in the Google Cloud Family described in <=4 words. Now on GitHub with PNGs and PDFs for posters & tri-fold brochures. Includes @GCPcloud, @Firebase, @apigee, @GMapsPlatform, & @GSuiteDevs https://t.co/b1xxsBHN86 pic.twitter.com/NjLft3mXTY
— Greg Wilson (@gregsramblings) December 2, 2018
Machine learning workflow is the visualization of common machine learning, deep learning and AI tasks. Note this flow chart is cyclical. Many iterations may be needed to improve the model. For example, the clean data, train and evaluate phase is often repeated many times.
Please note: these high level workflow illustrations abstracted away detailed tasks like : data preparation, data preprocessing, data modeling.
There are many variations and flavors of machine learning model workflow. For example, Ask Question —> Gather Data —> Create Features —> Normalize/Scale —> Sample Data —> Training Data —> Create Model —> Evaluate Model —> Testing Data —> Deploy Model.