A beginner-friendly introduction to deep learning through hands-on challenges using simple, synthetic datasets. The project on GitHub offers three exercises covering image classification (red squares vs yellow circles), text sentiment classification, and decision trees on tabular data. Each challenge runs on a laptop, trains in seconds, and uses clean synthetic data — no environment headaches or data cleaning required. Solutions use fastai and sklearn, with code snippets drawn from the fastai book.
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