Difference between revisions of "Tutorial: Binary Matcher with TensorFlow"
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--[[User:Thiebaut|D. Thiebaut]] ([[User talk:Thiebaut|talk]]) 15:26, 19 March 2017 (EDT) | --[[User:Thiebaut|D. Thiebaut]] ([[User talk:Thiebaut|talk]]) 15:26, 19 March 2017 (EDT) | ||
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| + | __TOC__ | ||
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| + | <onlydft> | ||
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| + | [[Image:TensorFlowBitMatcherDiagram.jpg|600px|center]] | ||
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=Source= | =Source= | ||
Revision as of 14:42, 19 March 2017
--D. Thiebaut (talk) 15:26, 19 March 2017 (EDT)
Source
This tutorial is in the form of a Jupyter Notebook, and made available here in various forms:
- tgz-zipped archive containing the markdown and notebook
Output
0 cost = 4.06461 Accuracy on training data = 7.78% Accuracy on test data = 0.00% 100 cost = 0.0568146 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 200 cost = 0.0249612 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 300 cost = 0.0156735 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 400 cost = 0.0113394 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 500 cost = 0.00885047 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 600 cost = 0.00724066 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 700 cost = 0.00611609 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 800 cost = 0.00528698 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 900 cost = 0.00465089 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1000 cost = 0.00414775 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1100 cost = 0.00374 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1200 cost = 0.00340309 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1300 cost = 0.00312006 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1400 cost = 0.00287907 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1500 cost = 0.00267149 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1600 cost = 0.00249079 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1700 cost = 0.00233219 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1800 cost = 0.00219193 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 1900 cost = 0.00206695 Accuracy on training data = 100.00% Accuracy on test data = 90.00% 2000 cost = 0.00195495 Accuracy on training data = 100.00% Accuracy on test data = 90.00%
