TF-Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.
It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of TF-Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.
Raw data
{
"_id": null,
"home_page": "https://keras.io/",
"name": "tf-keras-nightly",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "keras, tensorflow, machine learning, deep learning",
"author": "Keras team",
"author_email": "keras-users@googlegroups.com",
"download_url": "https://files.pythonhosted.org/packages/f6/b8/d4e4223387175b1a453fdcefc45877665a98a894dcce74f94c32ee60584b/tf_keras_nightly-2.19.0.dev2024112210.tar.gz",
"platform": null,
"description": "TF-Keras is a deep learning API written in Python,\nrunning on top of the machine learning platform TensorFlow.\n\nIt was developed with a focus on enabling fast experimentation and\nproviding a delightful developer experience.\nThe purpose of TF-Keras is to give an *unfair advantage* to any developer\nlooking to ship ML-powered apps.\n",
"bugtrack_url": null,
"license": "Apache 2.0",
"summary": "Deep learning for humans.",
"version": "2.19.0.dev2024112210",
"project_urls": {
"Download": "https://github.com/keras-team/tf-keras/tags",
"Homepage": "https://keras.io/"
},
"split_keywords": [
"keras",
" tensorflow",
" machine learning",
" deep learning"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ffc07a4fc885e2c6ea37aec1ad7c0cecea2845e59c1bcbb80f11e10a5804116e",
"md5": "bf8cda0b1a79b0146bf01b5f7051cc10",
"sha256": "ab303efe9ca9a881ea086d22500dedc3b2530fb5109767f54c1217eb91beda97"
},
"downloads": -1,
"filename": "tf_keras_nightly-2.19.0.dev2024112210-py3-none-any.whl",
"has_sig": false,
"md5_digest": "bf8cda0b1a79b0146bf01b5f7051cc10",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 1725960,
"upload_time": "2024-11-22T10:58:53",
"upload_time_iso_8601": "2024-11-22T10:58:53.867565Z",
"url": "https://files.pythonhosted.org/packages/ff/c0/7a4fc885e2c6ea37aec1ad7c0cecea2845e59c1bcbb80f11e10a5804116e/tf_keras_nightly-2.19.0.dev2024112210-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f6b8d4e4223387175b1a453fdcefc45877665a98a894dcce74f94c32ee60584b",
"md5": "e3eb72122fd53ea45684860578f3753a",
"sha256": "975c51daed2b6d1d0779a9813f76e1515cacbbc6ca403512cd46029f6ce3fadb"
},
"downloads": -1,
"filename": "tf_keras_nightly-2.19.0.dev2024112210.tar.gz",
"has_sig": false,
"md5_digest": "e3eb72122fd53ea45684860578f3753a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 1261860,
"upload_time": "2024-11-22T10:58:56",
"upload_time_iso_8601": "2024-11-22T10:58:56.704326Z",
"url": "https://files.pythonhosted.org/packages/f6/b8/d4e4223387175b1a453fdcefc45877665a98a894dcce74f94c32ee60584b/tf_keras_nightly-2.19.0.dev2024112210.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-22 10:58:56",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "keras-team",
"github_project": "tf-keras",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [],
"lcname": "tf-keras-nightly"
}
JSON
