MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...
Create a classification dataset using Scikit-Learn's make_moons () function, visualize it and then build a model to fit it at over 85% accuracy. Train a model to get 88%+ accuracy on the fashion MNIST ...
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