claude

dl-model-advisor

Book-grounded deep-learning model selection: routes a problem description (data modality, task type, dataset size) to the architecture, loss/activation pairing, evaluation protocol, and workflow that Deep Learning with Python 2E's decision rules select. Produces MODEL_PLAN.md and starter Keras code.

0 on GitHubby Antony Zakiupdated 1 month agoai-development
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Plugin dl-model-advisor from marketplace ai-toolkit-pro in Aznatkoiny/ai-toolkit-pro. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • advise

    Choose the right deep-learning architecture, loss/activation pairing, and evaluation protocol for a described ML problem (images, text, timeseries, tabular, sequences); produces MODEL_PLAN.md plus starter Keras code, grounded in Deep Learning with Python 2E's decision rules. Use when the user asks w

View source on GitHub

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