AI:机器学习与深度学习笔记本

时间:2021-02-14 21:12:40
【文件属性】:
文件名称:AI:机器学习与深度学习笔记本
文件大小:24.6MB
文件格式:ZIP
更新时间:2021-02-14 21:12:40
JupyterNotebook AI机器学习和深度学习 机器学习与深度学习-学习笔记 000H_准备 001H_线性回归 002H_逻辑回归 003H_支持向量机
【文件预览】:
AI-main
----csv()
--------housing.csv(1.36MB)
----000H_准备.ipynb(291KB)
----002H_逻辑回归.ipynb(93KB)
----LICENSE(1KB)
----003H_支持向量机.ipynb(62KB)
----handson-ml2-master()
--------15_processing_sequences_using_rnns_and_cnns.ipynb(1.19MB)
--------08_dimensionality_reduction.ipynb(3.53MB)
--------images()
--------changes_in_2nd_edition.md(9KB)
--------environment.yml(1KB)
--------09_unsupervised_learning.ipynb(3.78MB)
--------extra_autodiff.ipynb(32KB)
--------work_in_progress()
--------07_ensemble_learning_and_random_forests.ipynb(539KB)
--------INSTALL.md(5KB)
--------10_neural_nets_with_keras.ipynb(447KB)
--------math_linear_algebra.ipynb(657KB)
--------12_custom_models_and_training_with_tensorflow.ipynb(182KB)
--------LICENSE(10KB)
--------19_training_and_deploying_at_scale.ipynb(54KB)
--------tools_numpy.ipynb(615KB)
--------math_differential_calculus.ipynb(593KB)
--------03_classification.ipynb(799KB)
--------extra_gradient_descent_comparison.ipynb(303KB)
--------17_autoencoders_and_gans.ipynb(6.04MB)
--------11_training_deep_neural_networks.ipynb(409KB)
--------docker()
--------apt.txt(129B)
--------requirements.txt(3KB)
--------index.ipynb(5KB)
--------environment-windows.yml(1KB)
--------.gitignore(281B)
--------tools_matplotlib.ipynb(3.43MB)
--------05_support_vector_machines.ipynb(889KB)
--------06_decision_trees.ipynb(214KB)
--------04_training_linear_models.ipynb(722KB)
--------16_nlp_with_rnns_and_attention.ipynb(306KB)
--------README.md(4KB)
--------14_deep_computer_vision_with_cnns.ipynb(4.16MB)
--------02_end_to_end_machine_learning_project.ipynb(1.27MB)
--------book_equations.pdf(993KB)
--------tools_pandas.ipynb(441KB)
--------18_reinforcement_learning.ipynb(287KB)
--------13_loading_and_preprocessing_data.ipynb(578KB)
--------01_the_machine_learning_landscape.ipynb(281KB)
--------datasets()
----001H_线性回归.ipynb(120KB)
----.ipynb_checkpoints()
--------003H_支持向量机-checkpoint.ipynb(62KB)
--------逻辑回归-checkpoint.ipynb(93KB)
--------Untitled-checkpoint.ipynb(581B)
--------回归入门-checkpoint.ipynb(119KB)
--------Untitled1-checkpoint.ipynb(581B)
----README.md(166B)

网友评论