![]() ⚠️ First, let's set our expectations.️ The repository contains machine learning experiments and not a production ready, reusable, optimised and fine-tuned code and models. I've trained the models on Python using TensorFlow 2 with Keras support and then consumed them for a demo in a browser using React and JavaScript version of Tensorflow. ✊□✌️ Play with you in Rock-Paper-Scissors game.□ Detect and recognize the objects you'll show to your camera.□ Recognize digits or sketches you draw in your browser.Each experiment consists of □️ Jupyter/Colab notebook (to see how a model was trained) and □ demo page (to see a model in action right in your browser).Īlthough the models may be a little dumb (remember, these are just experiments, not a production ready code), they will try to do their best to: I've open-sourced new □ Interactive Machine Learning Experiments project on GitHub.
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