【文件属性】：
文件名称：Hands-On Machine Learning with Scikit-Learn and TensorFlow代码及数据集
文件大小：18.29MB
文件格式：RAR
更新时间：2021-05-20 17:26:53
Machine Learning 机器学习 代码
Hands-On Machine Learning with Scikit-Learn and TensorFlow代码及数据集
【文件预览】：
handson-ml-master
----15_autoencoders.ipynb(342KB)
----08_dimensionality_reduction.ipynb(3.52MB)
----images()
--------classification()
--------distributed()
--------ann()
--------end_to_end_project()
--------tensorflow()
--------autoencoders()
--------dim_reduction()
--------cnn()
--------deep()
--------ensembles()
--------training_linear_models()
--------fundamentals()
--------svm()
--------rl()
--------decision_trees()
--------rnn()
----16_reinforcement_learning.ipynb(1.25MB)
----book_equations.ipynb(48KB)
----11_deep_learning.ipynb(496KB)
----07_ensemble_learning_and_random_forests.ipynb(527KB)
----math_linear_algebra.ipynb(658KB)
----14_recurrent_neural_networks.ipynb(669KB)
----13_convolutional_neural_networks.ipynb(4.75MB)
----LICENSE(10KB)
----tools_numpy.ipynb(620KB)
----03_classification.ipynb(444KB)
----09_up_and_running_with_tensorflow.ipynb(230KB)
----12_distributed_tensorflow.ipynb(17KB)
----docker()
--------bin()
--------bashrc.bash(89B)
--------Dockerfile(4KB)
--------.env(32B)
--------nbdime-2-toc.patch(527B)
--------docker-compose.yml(469B)
--------Makefile(260B)
--------jupyter_notebook_config.py(691B)
--------nbdime-1-details.patch(790B)
--------README.md(3KB)
----requirements.txt(1KB)
----index.ipynb(4KB)
----10_introduction_to_artificial_neural_networks.ipynb(321KB)
----.gitignore(143B)
----tools_matplotlib.ipynb(1.09MB)
----05_support_vector_machines.ipynb(912KB)
----06_decision_trees.ipynb(208KB)
----extra_capsnets.ipynb(250KB)
----04_training_linear_models.ipynb(832KB)
----.ipynb_checkpoints()
--------03_classification-checkpoint.ipynb(444KB)
--------01_the_machine_learning_landscape-checkpoint.ipynb(279KB)
--------05_support_vector_machines-checkpoint.ipynb(912KB)
--------02_end_to_end_machine_learning_project-checkpoint.ipynb(1.3MB)
--------04_training_linear_models-checkpoint.ipynb(832KB)
----README.md(8KB)
----02_end_to_end_machine_learning_project.ipynb(1.29MB)
----tools_pandas.ipynb(442KB)
----01_the_machine_learning_landscape.ipynb(279KB)
----datasets()
--------housing()
--------inception()
--------lifesat()