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| // Corresponding spreadsheet: https://docs.google.com/spreadsheets/d/11pse2j9nLimlgyGsxVCtcHY7vBRYchMFslR_rIReNiQ/edit?usp=sharing | |
| function myFunction(event) { | |
| Logger.log(SpreadsheetApp.getActive().getUrl()); | |
| Logger.log(JSON.stringify(event)); | |
| row_num = event.range.rowStart; | |
| col_num = event.range.columnEnd; |
yufengg
/ AutoML_data_preparation_AIA023.ipynb
Last active
July 24, 2024 09:26
Notebook for preparing a CSV for Google Cloud AutoML Vision
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yufengg
/ AIA010.ipynb
Created
November 3, 2017 15:08
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yufengg
/ AIA010_5.py
Created
November 3, 2017 14:58
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| X = DATA_SETS.test.images[5000:5005] | |
| predict_input_fn = | |
| tf.estimator.inputs.numpy_input_fn( | |
| x={'pixels': X}, | |
| batch_size=1, | |
| num_epochs=1, | |
| shuffle=False) | |
| predictions = classifier.predict( |
yufengg
/ AIA010_4.py
Created
November 3, 2017 14:56
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| classifier = | |
| tf.estimator.DNNClassifier( | |
| feature_columns=feature_columns, | |
| n_classes=10, | |
| hidden_units=[100, 75, 50], | |
| model_dir=logdir | |
| ) |
yufengg
/ AIA010_3.py
Created
November 3, 2017 14:54
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| classifier.train( | |
| input_fn=train_input_fn, | |
| steps=num_steps) | |
| accuracy_score = classifier.evaluate( | |
| input_fn=eval_input_fn)['accuracy'] |
yufengg
/ AIA010_2.py
Created
November 3, 2017 14:53
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| tf.estimator.inputs.numpy_input_fn( | |
| x={'pixels': X}, | |
| y=Y, | |
| batch_size=batch_size, | |
| num_epochs=epochs, | |
| shuffle=shuffle) | |
| DATA_SETS = input_data.read_data_sets( | |
| "/tmp/fashion-mnist") |
yufengg
/ AIA010_1.py
Created
November 3, 2017 14:50
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| feature_columns = [ | |
| tf.feature_column.numeric_column( | |
| "pixels", shape=784) | |
| ] | |
| classifier = tf.estimator.LinearClassifier( | |
| feature_columns=feature_columns, | |
| n_classes=10, | |
| model_dir=logdir) |
yufengg
/ wide_n_deep_flow3_outputs.ipynb
Created
October 24, 2017 15:16
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yufengg
/ AIA006_tf_DNNClassifier.ipynb
Created
September 28, 2017 17:46
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