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You can draw 10+ circles and add them to class A, and draw 10+ lines and add them to class B, then let the model to guess your new drawing. KNN doodle classifier: Customizable doodle classesīased on the previous doodle classifier of 345 classes, I added KNN classifier to it, so people can customize their own doodle classes. I used n's remote GPU machine with big RAM to load all the data and train the model. I expanded the data to 345 classes and added a few layers to improve the accurary on 345 classes. This notebook is heavily based on Sketcher notebook on 100 classes. It's trained with tensorflow, and ported to tf.js in the browser. It's trained on all 345 categories from Quickdraw dataset, 50k images per class. Train a doodle classifier with 345 classes To test this model your self, you can load these two files back, and click on 'load model' button, then draw sth on the canvas, hit 'Guess' button to let model start guessing the drawing. As of 2019, over 4,000 Google Doodles have been created and displayed on homepages around the world, celebrating both well-known and under-recognised figures and events from the world of music and beyond. It will download two files: myDoodleNet.json and . Google launched its Google Doodles project over a decade ago. Local residents nicknamed the railroad the Pickens Doodle line, because the freight engine could not be turned around and had to run backwards from Easley. Once you open the webpage, wait until the page load the data, train the model, evaluate the model.
GOOGLE DOODLE TRAIN CODE
The code is based on tf.js Example - Training MNIST. I trained a doodle classifier with 3 classes(bowtie, lollipop, rainbow) in the browser using tfjs' layers API and tf.js-vis. Train a doodle classifier with 345 classesĬredits: Big thanks to sketcher google colab for training.The data I used is from Quickdraw dataset. This is a series of experiments I did about Doodle Classifier(a Convolutional Neural Network) using tensorflow.js and tensorflow.