handson-ml-master 这本书的代码

上传者: vv_swjtu | 上传时间: 2019-12-21 21:32:57 | 文件大小: 13.26MB | 文件类型: zip
handson-ml-master.zip 个人觉得挺不错的 实践必备的一本书

文件下载

资源详情

[{"title":"( 65 个子文件 13.26MB ) handson-ml-master 这本书的代码","children":[{"title":"handson-ml-master","children":[{"title":"index.ipynb <span style='color:#111;'> 4.43KB </span>","children":null,"spread":false},{"title":"tools_matplotlib.ipynb <span style='color:#111;'> 1.09MB </span>","children":null,"spread":false},{"title":"docker","children":[{"title":".env <span style='color:#111;'> 32B </span>","children":null,"spread":false},{"title":"bashrc.bash <span style='color:#111;'> 89B </span>","children":null,"spread":false},{"title":"Dockerfile <span style='color:#111;'> 3.41KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 260B </span>","children":null,"spread":false},{"title":"nbdime-2-toc.patch <span style='color:#111;'> 527B </span>","children":null,"spread":false},{"title":"docker-compose.yml <span style='color:#111;'> 469B </span>","children":null,"spread":false},{"title":"nbdime-1-details.patch <span style='color:#111;'> 790B </span>","children":null,"spread":false},{"title":"jupyter_notebook_config.py <span style='color:#111;'> 691B </span>","children":null,"spread":false},{"title":"bin","children":[{"title":"nbdiff_checkpoint <span style='color:#111;'> 583B </span>","children":null,"spread":false},{"title":"rm_empty_subdirs <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"nbclean_checkpoints <span style='color:#111;'> 4.87KB </span>","children":null,"spread":false},{"title":"tensorboard <span style='color:#111;'> 44B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"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;'> 1.32MB </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":false},{"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;'> 443.46KB </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":"extra_capsnets.ipynb <span style='color:#111;'> 250.49KB </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;'> 912.49KB </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;'> 8.45KB </span>","children":null,"spread":false},{"title":"01_the_machine_learning_landscape.ipynb <span style='color:#111;'> 278.08KB </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;'> 143B </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;'> 441.51KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】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,【只为小站】 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 【只为小站】 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,zhiweidada#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