{"adoption": {"forks": 2183, "observed_at": "2026-08-28T04:09:41.848637+00:00", "stars": 6340}, "canonical_url": "https://ross.abutalabs.com/products/tensorflow-2x-tutorials", "card": {"archived": false, "artifact_type": "learning-resource", "description": "TensorFlow 2.x version's  Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。", "domain": ["deep-learning", "machine-learning", "tutorials", "computer-vision"], "enriched": true, "function": ["deep-learning", "machine-learning", "computer-vision", "nlp"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["dragen1860/TensorFlow-2.x-Tutorials"], "name": "dragen1860/TensorFlow-2.x-Tutorials", "platform": ["python", "cross-platform"], "pushed_at": "2020-09-23T15:50:30+00:00", "repo": "dragen1860/TensorFlow-2.x-Tutorials", "stars": 6340, "tags": ["tensorflow-2", "jupyter-notebooks", "neural-networks", "gan", "bert", "gpt", "example-code", "natural-language-processing"], "topics": ["tensorflow", "tensorflow-examples", "tensorflow-tutorials", "tensorflow-2", "deep-learning", "machine-learning", "computer-vision", "nlp", "artificial-intelligence", "neural-network"], "urls": [], "use_cases": ["learn tensorflow 2.0 with example code", "deep learning tutorial notebooks", "implement GAN in tensorflow 2", "BERT example in tensorflow", "CNN MNIST tutorial tensorflow 2", "get started with keras and tf2"], "what_it_is": "A collection of TensorFlow 2.x tutorials and example code in Jupyter Notebooks, covering CNNs, RNNs, GANs, auto-encoders, Faster RCNN, GPT, BERT, and more. It won the PoweredByTF 2.0 Challenge and serves as a hands-on introduction to deep learning with TF 2.0.", "when_to_avoid": ["you need production-ready or maintained code - the repo has not been updated since 2020", "you use PyTorch or another framework", "you need a license permitting reuse - no license is provided"], "when_to_choose": ["you want runnable Jupyter notebook examples for TensorFlow 2.x", "you are learning deep learning basics like CNN, RNN, GAN, auto-encoders", "you want reference implementations of models like ResNet, BERT, GPT in TF2"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/tensorflow-2x-tutorials", "repo": "dragen1860/TensorFlow-2.x-Tutorials", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:09:41.848637+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:46:08.612048+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f5a8b33c58d9f939153f32ec02e6970976320cd37914d1879b7430e0e52b78e", "fetched_at": "2026-08-28T04:09:41.848637+00:00", "kind": "readme", "missing": false, "url": "https://github.com/dragen1860/TensorFlow-2.x-Tutorials"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2772, "days_push": 2170, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}