首页 人工智能 深度学习     /    hands-onmachinelearningwithscikit-learnandtensorflow代码谜底

hands-onmachinelearningwithscikit-learnandtensorflow代码谜底

上传者: sakuralu | 上传时间:2019/10/24 19:54:22 | 文件大小:13.07MB | 文件类型:zip
hands-onmachinelearningwithscikit-learnandtensorflow代码谜底
hands-onmachinelearningwithscikit-learnandtensorflow代码谜底 本软件ID:10124790

文件下载

资源详情

[{"title":"(51个子文件13.07MB)hands-onmachinelearningwithscikit-learnandtensorflow代码答案","children":[{"title":"handson-ml-master","children":[{"title":"index.ipynb <span style='color:#111;'>4.34KB</span>","children":null,"spread":false},{"title":"tools_matplotlib.ipynb <span style='color:#111;'>1.09MB</span>","children":null,"spread":false},{"title":"10_introduction_to_artificial_neural_networks.ipynb <span style='color:#111;'>321.28KB</span>","children":null,"spread":false},{"title":"02_end_to_end_machine_learning_project.ipynb <span style='color:#111;'>1.29MB</span>","children":null,"spread":false},{"title":"08_dimensionality_reduction.ipynb <span style='color:#111;'>3.55MB</span>","children":null,"spread":false},{"title":"06_decision_trees.ipynb <span style='color:#111;'>208.39KB</span>","children":null,"spread":false},{"title":"math_linear_algebra.ipynb <span style='color:#111;'>657.70KB</span>","children":null,"spread":false},{"title":"14_recurrent_neural_networks.ipynb <span style='color:#111;'>668.50KB</span>","children":null,"spread":false},{"title":"images","children":[{"title":"distributed","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":true},{"title":"deep","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":true},{"title":"dim_reduction","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":true},{"title":"decision_trees","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":true},{"title":"ann","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"tensorflow","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"ensembles","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"end_to_end_project","children":[{"title":"california.png <span style='color:#111;'>9.80KB</span>","children":null,"spread":false},{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"cnn","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false},{"title":"test_image.png <span style='color:#111;'>177.56KB</span>","children":null,"spread":false}],"spread":false},{"title":"svm","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"training_linear_models","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"autoencoders","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"rnn","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"classification","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"fundamentals","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false},{"title":"rl","children":[{"title":"README <span style='color:#111;'>34B</span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"03_classification.ipynb <span style='color:#111;'>443.45KB</span>","children":null,"spread":false},{"title":"13_convolutional_neural_networks.ipynb <span style='color:#111;'>4.75MB</span>","children":null,"spread":false},{"title":"09_up_and_running_with_tensorflow.ipynb <span style='color:#111;'>230.43KB</span>","children":null,"spread":false},{"title":"16_reinforcement_learning.ipynb <span style='color:#111;'>1.25MB</span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'>1.35KB</span>","children":null,"spread":false},{"title":"15_autoencoders.ipynb <span style='color:#111;'>341.34KB</span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"lifesat","children":[{"title":"README.md <span style='color:#111;'>4.21KB</span>","children":null,"spread":false},{"title":"gdp_per_capita.csv <span style='color:#111;'>35.47KB</span>","children":null,"spread":false},{"title":"oecd_bli_2015.csv <span style='color:#111;'>395.96KB</span>","children":null,"spread":false}],"spread":false},{"title":"inception","children":[{"title":"imagenet_class_names.txt <span style='color:#111;'>30.93KB</span>","children":null,"spread":false}],"spread":false},{"title":"housing","children":[{"title":"housing.tgz <span style='color:#111;'>399.89KB</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>3.59KB</span>","children":null,"spread":false},{"title":"housing.csv <span style='color:#111;'>1.36MB</span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"04_training_linear_models.ipynb <span style='color:#111;'>881.18KB</span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'>9.94KB</span>","children":null,"spread":false},{"title":"05_support_vector_machines.ipynb <span style='color:#111;'>897.02KB</span>","children":null,"spread":false},{"title":"book_equations.ipynb <span style='color:#111;'>47.90KB</span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'>7.82KB</span>","children":null,"spread":false},{"title":"01_the_machine_learning_landscape.ipynb <span style='color:#111;'>256.93KB</span>","children":null,"spread":false},{"title":"07_ensemble_learning_and_random_forests.ipynb <span style='color:#111;'>526.88KB</span>","children":null,"spread":false},{"title":"12_distributed_tensorflow.ipynb <span style='color:#111;'>16.73KB</span>","children":null,"spread":false},{"title":"11_deep_learning.ipynb <span style='color:#111;'>505.09KB</span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'>112B</span>","children":null,"spread":false},{"title":"tools_numpy.ipynb <span style='color:#111;'>620.21KB</span>","children":null,"spread":false},{"title":"tools_pandas.ipynb <span style='color:#111;'>395.49KB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • qq_33789003:
    很不错的资料。2018-01-14
  • vision_studio:
    附书代码,谢谢分享2018-01-04

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明