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‎Reinforcement_learning_TUT/README.md

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<p align="center">
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<a href="https://www.youtube.com/watch?v=pieI7rOXELI&list=PLXO45tsB95cIplu-fLMpUEEZTwrDNh6Ba" target="_blank">
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<img width="60%" src="https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow/blob/master/RL_cover.jpg?raw=true" style="max-width:100%;">
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<img width="60%" src="https://gitee.com/MorvanZhou/Reinforcement-learning-with-tensorflow/blob/master/RL_cover.jpg?raw=true" style="max-width:100%;">
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</a>
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</p>
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# Note! This Reinforcement Learning Tutorial has been moved to anther independent repo:
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[https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
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[https://gitee.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://gitee.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
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# 请注意! 这个 强化学习 的教程代码已经被移至另一个网页:
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[https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
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[https://gitee.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://gitee.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
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# Donation

‎kerasTUT/README.md

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If you speak Chinese, you can watch my [Youtube channel](https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg) as well.
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* [Install](kerasTUT/2-installation.py)
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* [Backend (Tensorflow/Theano)](kerasTUT/3-backend.py)
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* [Install](2-installation.py)
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* [Backend (Tensorflow/Theano)](3-backend.py)
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* Networks
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* [Simple Regressor](kerasTUT/4-regressor_example.py)
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* [Simple Classifier](kerasTUT/5-classifier_example.py)
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* [CNN](kerasTUT/6-CNN_example.py)
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* [RNN classifier](kerasTUT/7-RNN_Classifier_example.py)
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* [RNN LSTM regressor](kerasTUT/8-RNN_LSTM_Regressor_example.py)
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* [Autoencoder](kerasTUT/9-Autoencoder_example.py)
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* [Simple Regressor](4-regressor_example.py)
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* [Simple Classifier](5-classifier_example.py)
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* [CNN](6-CNN_example.py)
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* [RNN classifier](7-RNN_Classifier_example.py)
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* [RNN LSTM regressor](8-RNN_LSTM_Regressor_example.py)
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* [Autoencoder](9-Autoencoder_example.py)
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# Donation

‎matplotlibTUT/README.md

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All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://mofanpy.com/tutorials/) for more.
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* [Install](matplotlibTUT/plt2_install.py)
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* [Basic usage](matplotlibTUT/plt3_simple_plot.py)
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* [Figure](matplotlibTUT/plt4_figure.py)
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* [Axis setting1](matplotlibTUT/plt5_ax_setting1.py)
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* [Axis setting2](matplotlibTUT/plt6_ax_setting2.py)
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* [Legend](matplotlibTUT/plt7_legend.py)
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* [Annotation](matplotlibTUT/plt8_annotation.py)
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* [Deal with Tick](matplotlibTUT/plt9_tick_visibility.py)
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* [Install](plt2_install.py)
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* [Basic usage](plt3_simple_plot.py)
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* [Figure](plt4_figure.py)
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* [Axis setting1](plt5_ax_setting1.py)
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* [Axis setting2](plt6_ax_setting2.py)
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* [Legend](plt7_legend.py)
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* [Annotation](plt8_annotation.py)
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* [Deal with Tick](plt9_tick_visibility.py)
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* Drawing
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* [Scatter](matplotlibTUT/plt10_scatter.py)
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* [Bar](matplotlibTUT/plt11_bar.py)
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* [Contours](matplotlibTUT/plt12_contours.py)
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* [Image](matplotlibTUT/plt13_image.py)
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* [3D plot](matplotlibTUT/plt14_3d.py)
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* [Scatter](plt10_scatter.py)
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* [Bar](plt11_bar.py)
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* [Contours](plt12_contours.py)
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* [Image](plt13_image.py)
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* [3D plot](plt14_3d.py)
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* Subplots
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* [Subplot1](matplotlibTUT/plt15_subplot.py)
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* [Grid Subplot](matplotlibTUT/plt16_grid_subplot.py)
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* [Plot in Plot](matplotlibTUT/plt17_plot_in_plot.py)
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* [Second y-axis](matplotlibTUT/plt18_secondary_yaxis.py)
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* [Subplot1](plt15_subplot.py)
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* [Grid Subplot](plt16_grid_subplot.py)
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* [Plot in Plot](plt17_plot_in_plot.py)
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* [Second y-axis](plt18_secondary_yaxis.py)
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* Animation
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* [Function Animation](matplotlibTUT/plt19_animation.py)
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* [Function Animation](plt19_animation.py)
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# Some plots from these tutorials:

‎pyTorch tutorial/README.md

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<p align="center">
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<a href="http://pytorch.org/" target="_blank">
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<img width="40%" src="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/logo.png" style="max-width:100%;">
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<img width="40%" src="https://gitee.com/MorvanZhou/PyTorch-Tutorial/blob/master/logo.png" style="max-width:100%;">
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</a>
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</p>
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# This pyTorch Tutorial has been moved to anther independent repo:
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[https://github.com/MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)
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[https://gitee.com/MorvanZhou/PyTorch-Tutorial](https://gitee.com/MorvanZhou/PyTorch-Tutorial)
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# 请注意, 这个 PyTorch 的教程代码已经被移至另一个网页:
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[https://github.com/MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)
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[https://gitee.com/MorvanZhou/PyTorch-Tutorial](https://gitee.com/MorvanZhou/PyTorch-Tutorial)
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# Donation

‎tensorflowTUT/README.md

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<p align="center">
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<a href="https://www.tensorflow.org/" target="_blank">
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<img width="40%" src="tensorflowTUT/logo.jpeg" style="max-width:100%;">
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<img width="40%" src="logo.jpeg" style="max-width:100%;">
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</a>
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</p>
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* Tensorflow Basic
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* [Basic example](tensorflowTUT/tf5_example2/full_code.py)
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* [Session](tensorflowTUT/tensorflow6_session.py)
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* [Variable](tensorflowTUT/tensorflow7_variable.py)
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* [Placeholder](tensorflowTUT/tensorflow8_feeds.py)
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* [Basic example](tf5_example2/full_code.py)
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* [Session](tensorflow6_session.py)
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* [Variable](tensorflow7_variable.py)
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* [Placeholder](tensorflow8_feeds.py)
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* Build your first NN
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* [Adding layer](tensorflowTUT/tensorflow10_def_add_layer.py)
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* [Build NN](tensorflowTUT/tf11_build_network/full_code.py)
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* [Visualize update](tensorflowTUT/tf12_plot_result/full_code.py)
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* [Adding layer](tensorflow10_def_add_layer.py)
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* [Build NN](tf11_build_network/full_code.py)
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* [Visualize update](tf12_plot_result/full_code.py)
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* Tensorboard
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* [Visualization 1](tensorflowTUT/tf14_tensorboard/full_code.py)
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* [Visualization 2](tensorflowTUT/tf15_tensorboard/full_code.py)
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* [Classification](tensorflowTUT/tf16_classification/full_code.py)
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* [Overfitting and dropout](tensorflowTUT/tf17_dropout/full_code.py)
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* [Save Network](tensorflowTUT/tf19_saver.py)
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* [Visualization 1](tf14_tensorboard/full_code.py)
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* [Visualization 2](tf15_tensorboard/full_code.py)
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* [Classification](tf16_classification/full_code.py)
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* [Overfitting and dropout](tf17_dropout/full_code.py)
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* [Save Network](tf19_saver.py)
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* CNN
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* [CNN layers](tensorflowTUT/tf18_CNN2/full_code.py)
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* [CNN training](tensorflowTUT/tf18_CNN3/full_code.py)
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* [CNN layers](tf18_CNN2/full_code.py)
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* [CNN training](tf18_CNN3/full_code.py)
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* RNN
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* [Classification](tensorflowTUT/tf20_RNN2/full_code.py)
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* [Regression](tensorflowTUT/tf20_RNN2.2/full_code.py)
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* [Autoencoder](tensorflowTUT/tf21_autoencoder/full_code.py)
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* [Classification](tf20_RNN2/full_code.py)
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* [Regression](tf20_RNN2.2/full_code.py)
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* [Autoencoder](tf21_autoencoder/full_code.py)
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* Scope
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* [Scope in TF](tensorflowTUT/tf22_scope/tf22_scope.py)
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* [Training Testing for RNN](tensorflowTUT/tf22_scope/tf22_RNN_scope.py)
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* [Batch Normalization](tensorflowTUT/tf23_BN/tf23_BN.py)
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* [Scope in TF](tf22_scope/tf22_scope.py)
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* [Training Testing for RNN](tf22_scope/tf22_RNN_scope.py)
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* [Batch Normalization](tf23_BN/tf23_BN.py)
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‎theanoTUT/README.md

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All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://mofanpy.com/tutorials/) for more.
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* [Install](theanoTUT/theano2_install.py)
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* [Example of Machine Learning](theanoTUT/theano3_what_does_ML_do.py)
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* [Install](theano2_install.py)
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* [Example of Machine Learning](theano3_what_does_ML_do.py)
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* Basic
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* [Basic Usage](theanoTUT/theano4_basic_usage.py)
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* [Function](theanoTUT/theano5_function.py)
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* [Shared Variable](theanoTUT/theano6_shared_variable.py)
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* [Activation Function](theanoTUT/theano7_activation_function.py)
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* [Basic Usage](theano4_basic_usage.py)
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* [Function](theano5_function.py)
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* [Shared Variable](theano6_shared_variable.py)
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* [Activation Function](theano7_activation_function.py)
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* Build a Network
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* [Layer](theanoTUT/theano8_Layer_class.py)
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* [Regression](theanoTUT/theano9_regression_nn/full_code.py)
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* [Visualize Regression](theanoTUT/theano10_regression_visualization/full_code.py)
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* [Classification](theanoTUT/theano11_classification_nn/full_code.py)
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* [Regularization](https://github.com/MorvanZhou/tutorials/tree/master/theanoTUT/theano12_regularization)
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* [Save model](theanoTUT/theano13_save/full_code.py)
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* [Layer](theano8_Layer_class.py)
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* [Regression](theano9_regression_nn/full_code.py)
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* [Visualize Regression](theano10_regression_visualization/full_code.py)
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* [Classification](theano11_classification_nn/full_code.py)
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* [Regularization](https://github.com/MorvanZhou/tutorials/tree/master/theano12_regularization)
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* [Save model](theano13_save/full_code.py)
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# Donation
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