handson-ml2：머신러닝2E의
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2021-02-03
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handson-ml2-master.zip （84个子文件） 
handson-ml2-master 
16_nlp_with_rnns_and_attention.ipynb 277KB .gitignore 281B INSTALL.md 5KB extra_gradient_descent_comparison.ipynb 303KB images tensorflow README 34B rl 
breakout.gif 109KB README 34B fundamentals README 34B ann README 34B svm README 34B deep README 34B autoencoders README 34B end_to_end_project 
california.png 10KB README 34B decision_trees README 34B rnn README 34B unsupervised_learning ladybug.png 561KB README 34B training_linear_models README 34B cnn test_image.png 178KB README 34B classification README 34B nlp README 34B ensembles README 34B distributed README 34B cover.png 175KB environment-windows.yml 1KB book_equations.ipynb 47KB
requirements.txt 3KB 06_decision_trees.ipynb 212KB datasets housing housing.csv 1.36MB README.md 4KB housing.tgz 400KB jsb_chorales jsb_chorales.tgz 115KB README.md 2KB lifesat gdp_per_capita.csv 35KB README.md 4KB oecd_bli_2015.csv 396KB inception imagenet_class_names.txt 31KB
book_equations.pdf 993KB 10_neural_nets_with_keras.ipynb 605KB 02_end_to_end_machine_learning_project.ipynb 1.24MB 03_classification.ipynb 458KB LICENSE 10KB extra_autodiff.ipynb 33KB 05_support_vector_machines.ipynb 885KB 13_loading_and_preprocessing_data.ipynb 589KB 07_ensemble_learning_and_random_forests.ipynb 677KB 18_reinforcement_learning.ipynb 4.56MB 19_training_and_deploying_at_scale.ipynb 54KB 04_training_linear_models.ipynb 751KB README.md 5KB custom_model_in_keras.ipynb 22KB 08_dimensionality_reduction.ipynb 3.63MB 09_unsupervised_learning.ipynb 3.77MB math_linear_algebra.ipynb 657KB work_in_progress extra_capsnets-cn.ipynb 292KB extra_tensorflow_reproducibility.ipynb 55KB extra_capsnets.ipynb 250KB environment.yml 1KB 01_the_machine_learning_landscape.ipynb 280KB 17_autoencoders_and_gans.ipynb 6.05MB 15_processing_sequences_using_rnns_and_cnns.ipynb 41.81MB tools_numpy.ipynb 343KB math_differential_calculus.ipynb 593KB 14_deep_computer_vision_with_cnns.ipynb 4.4MB 12_custom_models_and_training_with_tensorflow.ipynb 183KB tools_matplotlib.ipynb 3.44MB tools_pandas.ipynb 432KB changes_in_2nd_edition.md 9KB apt.txt 129B 11_training_deep_neural_networks.ipynb 391KB index.ipynb 5KB docker Dockerfile 3KB Makefile 263B bin rm_empty_subdirs 2KB nbclean_checkpoints 5KB nbdiff_checkpoint 583B tensorboard 44B bashrc.bash 89B .env 33B docker-compose.yml 516B README.md 3KB jupyter_notebook_config.py 691B
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