GitHub - danielhardej/hands-on-ML: Sample codes and solutions to exercises from Aurelien Geron's Hands-On Machine Learning with Scikit-Learn and TensorFlow book

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.env		.env
.ipynb_checkpoints		.ipynb_checkpoints
bin		bin
datasets		datasets
include		include
lib		lib
tf_logs		tf_logs
venv		venv
.DS_Store		.DS_Store
.Python		.Python
Chapter10.py		Chapter10.py
Chapter10_Q9.py		Chapter10_Q9.py
Chapter2.py		Chapter2.py
Chapter2n.py		Chapter2n.py
Chapter3.py		Chapter3.py
Chapter4.py		Chapter4.py
Chapter5.py		Chapter5.py
Chapter6.py		Chapter6.py
Chapter7.py		Chapter7.py
Chapter8.py		Chapter8.py
Chapter9.py		Chapter9.py
Chapter9_2.py		Chapter9_2.py
Chapter9_Q12.py		Chapter9_Q12.py
Chapter9n.py		Chapter9n.py
Chapter_11.py		Chapter_11.py
Chapter_11_Q8.py		Chapter_11_Q8.py
Chapter_13.py		Chapter_13.py
Chapter_13_MNIST.py		Chapter_13_MNIST.py
Chapter_13_Q7.py		Chapter_13_Q7.py
Chapter_13_Q7v1.py		Chapter_13_Q7v1.py
Chapter_13_Q7v2.py		Chapter_13_Q7v2.py
Chapter_13_Q7v3.py		Chapter_13_Q7v3.py
Chapter_14.py		Chapter_14.py
Chapter_14_NLP.py		Chapter_14_NLP.py
Chapter_14_deepRNN.py		Chapter_14_deepRNN.py
Chapter_14_predictor.py		Chapter_14_predictor.py
Chapter_15.py		Chapter_15.py
Chapter_15_PCA.py		Chapter_15_PCA.py
Chapter_15_Stacked_Autoencoder.py		Chapter_15_Stacked_Autoencoder.py
Chapter_15_Variational_Autoencoder.py		Chapter_15_Variational_Autoencoder.py
Chapter_16_CartPole_NN.py		Chapter_16_CartPole_NN.py
Chapter_16_MsPacman.py		Chapter_16_MsPacman.py
Untitled.ipynb		Untitled.ipynb
checkpoint		checkpoint
iris_tree.dot		iris_tree.dot
my_deep_mnist_model.data-00000-of-00001		my_deep_mnist_model.data-00000-of-00001
my_deep_mnist_model.index		my_deep_mnist_model.index
my_deep_mnist_model.meta		my_deep_mnist_model.meta
my_mnist_model.data-00000-of-00001		my_mnist_model.data-00000-of-00001
my_mnist_model.index		my_mnist_model.index
my_mnist_model.meta		my_mnist_model.meta
my_mnist_model_0_to_4.ckpt.data-00000-of-00001		my_mnist_model_0_to_4.ckpt.data-00000-of-00001
my_mnist_model_0_to_4.ckpt.index		my_mnist_model_0_to_4.ckpt.index
my_mnist_model_0_to_4.ckpt.meta		my_mnist_model_0_to_4.ckpt.meta
my_model_final.ckpt.data-00000-of-00001		my_model_final.ckpt.data-00000-of-00001
my_model_final.ckpt.index		my_model_final.ckpt.index
my_model_final.ckpt.meta		my_model_final.ckpt.meta
my_model_variational.ckpt.data-00000-of-00001		my_model_variational.ckpt.data-00000-of-00001
my_model_variational.ckpt.index		my_model_variational.ckpt.index
my_model_variational.ckpt.meta		my_model_variational.ckpt.meta
my_policy_net_pg.ckpt.data-00000-of-00001		my_policy_net_pg.ckpt.data-00000-of-00001
my_policy_net_pg.ckpt.index		my_policy_net_pg.ckpt.index
my_policy_net_pg.ckpt.meta		my_policy_net_pg.ckpt.meta
my_time_series_model.data-00000-of-00001		my_time_series_model.data-00000-of-00001
my_time_series_model.index		my_time_series_model.index
my_time_series_model.meta		my_time_series_model.meta
pip-selfcheck.json		pip-selfcheck.json