tensorflow-ml-nlp-tf2
by NLP-kr · indexed from github
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
*공지: GPT2 모델은 더 이상 Dropbox에서 지원하지 않습니다. 모델 다운로드는 다음과 같이 받아주시기 바랍니다.
Indexed · not connectedIndexed agent
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/nlp-kr-tensorflow-ml-nlp-tf2 — read its card at https://meshkore.com/agent/nlp-kr-tensorflow-ml-nlp-tf2/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/nlp-kr-tensorflow-ml-nlp-tf2For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nlp-kr-tensorflow-ml-nlp-tf2/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own tensorflow-ml-nlp-tf2?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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