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GeezerVison is showing github.com — GitHub - rrlyman/PythonMachineLearningExamples: Example Code from the book Python Machine Learning, using a database of character images.

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15-01-01 459_Mont_Lyman.jpg
15-01-01 459_Mont_Lyman.jpg
 
 
README.md
README.md
 
 
license.txt
license.txt
 
 
n0_network.py
n0_network.py
 
 
n1_2cnv1fc.py
n1_2cnv1fc.py
 
 
n1_2cnv2fc.py
n1_2cnv2fc.py
 
 
n1_baseTensorNN.py
n1_baseTensorNN.py
 
 
n1_image_to_image.py
n1_image_to_image.py
 
 
n1_residual3x4.py
n1_residual3x4.py
 
 
o1_top_secret_cnn.py
o1_top_secret_cnn.py
 
 
o2_top_secret_lda-tesseract.py
o2_top_secret_lda-tesseract.py
 
 
o3_top_secret_python_box.py
o3_top_secret_python_box.py
 
 
o4_image_to_image.py
o4_image_to_image.py
 
 
ocr_utils.py
ocr_utils.py
 
 
p110_scaling_features.py
p110_scaling_features.py
 
 
p115_l1_l2_regularization.py
p115_l1_l2_regularization.py
 
 
p119_squential_backward_selection.py
p119_squential_backward_selection.py
 
 
p124_random_forest.py
p124_random_forest.py
 
 
p124_random_forest_feature_importance.py
p124_random_forest_feature_importance.py
 
 
p131_principal_component_analysis.py
p131_principal_component_analysis.py
 
 
p141_linear_descriminant_analsys.py
p141_linear_descriminant_analsys.py
 
 
p154_pca_nonlinear_mapings.py
p154_pca_nonlinear_mapings.py
 
 
p177_k_fold_cross_validation.py
p177_k_fold_cross_validation.py
 
 
p181_learning_curves.py
p181_learning_curves.py
 
 
p186_grid_search.py
p186_grid_search.py
 
 
p189_nested_cross_validation.py
p189_nested_cross_validation.py
 
 
p190_confusion_matrix.py
p190_confusion_matrix.py
 
 
p193_model_precision_recall.py
p193_model_precision_recall.py
 
 
p194_receiver_operating_characteristic.py
p194_receiver_operating_characteristic.py
 
 
p206_majority_vote_classifier.py
p206_majority_vote_classifier.py
 
 
p221_bagging_bootstrap_samples.py
p221_bagging_bootstrap_samples.py
 
 
p229_adaboost.py
p229_adaboost.py
 
 
p25_perceptron.py
p25_perceptron.py
 
 
p314_k_means.py
p314_k_means.py
 
 
p322_silhouette_plots.py
p322_silhouette_plots.py
 
 
p330_dendrogram.py
p330_dendrogram.py
 
 
p356_neural_net.py
p356_neural_net.py
 
 
p36_adaline_gd.py
p36_adaline_gd.py
 
 
p411_keras.py
p411_keras.py
 
 
p44_adaline_sgd.py
p44_adaline_sgd.py
 
 
p51_standard_scalar.py
p51_standard_scalar.py
 
 
p62_logistic_regression.py
p62_logistic_regression.py
 
 
p73_support_vector_machine.py
p73_support_vector_machine.py
 
 
p75_xor_dataset.py
p75_xor_dataset.py
 
 
p78_support_vector_machine_gamma.py
p78_support_vector_machine_gamma.py
 
 
p86_decision_tree.py
p86_decision_tree.py
 
 
p94_knearest_neighbors.py
p94_knearest_neighbors.py
 
 
q0_simple_e13b_display.py
q0_simple_e13b_display.py
 
 
q1_database_statistics.py
q1_database_statistics.py
 
 
q2_tensorflow_mnist.py
q2_tensorflow_mnist.py
 
 
q3_removing_affine_distortion.py
q3_removing_affine_distortion.py
 
 
q4_Theano_mlp.py
q4_Theano_mlp.py
 
 
q5_tensorflow_residual.py
q5_tensorflow_residual.py
 
 
q6_tensorflow_residual3x4.py
q6_tensorflow_residual3x4.py
 
 
q7_theano_gpu_test.py
q7_theano_gpu_test.py
 
 
q8_tika.py
q8_tika.py
 
 
q9_tensorflow_gpu_test.py
q9_tensorflow_gpu_test.py
 
 
run_batch.bat
run_batch.bat
 
 
run_batch.sc
run_batch.sc
 
 
tensor_flow_graph.png
tensor_flow_graph.png
 
 
tree.png
tree.png
 
 

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PythonMachineLearingExamples

These are Python programs mostly taken from the book "Python Machine Learning" by Sebastian Raschka

see the original programs from the book at:

https://github.com/rasbt/python-machine-learning-book

These programs were intended to prove out the data set of character images found in fonts.zip which will be automatically downloaded.

For a detailed explanation of each program, read "Python Machine Learning".

Due to the fact that a few E13B characters can be classified using only two features, most of the example programs that use the Iris dataset can also be be used with E13B.

run_batch.sc is a bash script that runs all of the programs in the directory

The script file will create many files in the folder, /tmp/plots.

Python 3.8 Anaconda3 Linux or Windows cuda 11.2.1 h5py 2.10.0 Keras 2.4.3 Lasagne 0.1 matplotlib 3.3.2 numpy 1.19.2 pytesseract 0.3.7 sklearn 0.0 tensorflow 2.4.1 tesseract 4.1.1 Theano 1.0.5 tika 1.24

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Example Code from the book Python Machine Learning, using a database of character images.

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