Briefly
I created a new project, Interactive Machine Learning Experiments on GitHub. Each experiment consists of a Jupyter / Colab laptop showing how the model was trained, and a Demo page showing the model in action right in your browser.
Despite the fact that the machine models in the repository can be a little "dumb" (remember, these are just experiments, not a licked code, ready for "uploading to production" and further managing new Tesla), they will try their best to:
- Recognize numbers and other sketches that you draw in the browser
- Identify and recognize objects in video from your camera
- Categorize images uploaded by you
- Write a poem in the style of Shakespeare with you
- And even play rock-paper-scissors with you
- and so forth
I trained models in Python using TensorFlow 2 with Keras support . For the demo application, I used the React and JavaScript version of Tensorflow .
Performance models
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