Mercurial > hg > tvii
graph
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[documentation] install editable instructions that workSat, 02 Dec 2017 10:22:25 -0800, by Jeff Hammel
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require tensorflowSat, 02 Dec 2017 10:21:18 -0800, by Jeff Hammel
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more linksSun, 08 Oct 2017 13:26:46 -0700, by Jeff Hammel
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[link] machinelearningmastery.comSun, 08 Oct 2017 12:59:47 -0700, by Jeff Hammel
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[doc] link to deeplearn.jsFri, 29 Sep 2017 10:00:31 -0700, by Jeff Hammel
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[regression] add better cost function for sigmoidsSun, 24 Sep 2017 15:30:15 -0700, by Jeff Hammel
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[logistic regression] note further stepsSun, 24 Sep 2017 15:25:49 -0700, by Jeff Hammel
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[documentation] cache coursera notesSun, 24 Sep 2017 14:42:56 -0700, by Jeff Hammel
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[documentation] link to lore python libSat, 23 Sep 2017 11:18:15 -0700, by Jeff Hammel
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[compat] fix variable scoping for py3Sun, 17 Sep 2017 18:08:55 -0700, by Jeff Hammel
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add module + test for uniquenessSun, 17 Sep 2017 14:28:36 -0700, by Jeff Hammel
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[doc] references to ML projectsSun, 17 Sep 2017 14:21:58 -0700, by Jeff Hammel
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[doc] illustration of fwd+back propagationSun, 17 Sep 2017 14:19:18 -0700, by Jeff Hammel
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[doc] add a placeholder for discussion of datasetsSun, 17 Sep 2017 12:01:14 -0700, by Jeff Hammel
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note dependenciesSun, 10 Sep 2017 11:29:44 -0700, by Jeff Hammel
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notes on backpropagationMon, 04 Sep 2017 15:19:29 -0700, by Jeff Hammel
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[documentation] notes + stubs on gradient descentMon, 04 Sep 2017 15:06:38 -0700, by Jeff Hammel
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[activation functions] add ReLUMon, 04 Sep 2017 14:53:32 -0700, by Jeff Hammel
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derivative of sigmoidMon, 04 Sep 2017 14:34:00 -0700, by Jeff Hammel
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[activation functions] placeholderMon, 04 Sep 2017 14:31:25 -0700, by Jeff Hammel
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[packaging] lets try out scikit learnMon, 04 Sep 2017 14:30:56 -0700, by Jeff Hammel
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[packaging] add a MANIFEST.in, mostly for showMon, 04 Sep 2017 14:16:29 -0700, by Jeff Hammel
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[documentation] note more linksMon, 04 Sep 2017 14:15:36 -0700, by Jeff Hammel
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documentationMon, 04 Sep 2017 14:05:24 -0700, by Jeff Hammel
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[documentation] more matrix notesMon, 04 Sep 2017 14:02:24 -0700, by Jeff Hammel
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[documentation] add notes for matrices + vectorizationMon, 04 Sep 2017 13:55:48 -0700, by Jeff Hammel
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[tox] use 3.5 tooMon, 04 Sep 2017 13:53:35 -0700, by Jeff Hammel
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finalize logistic regression notesMon, 04 Sep 2017 13:29:11 -0700, by Jeff Hammel
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[logistic regression] add modelMon, 04 Sep 2017 13:20:25 -0700, by Jeff Hammel
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[logistic regression] test gradient descentMon, 04 Sep 2017 12:37:45 -0700, by Jeff Hammel
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remove ephemeral notesMon, 04 Sep 2017 12:04:58 -0700, by Jeff Hammel
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test linear regressionMon, 04 Sep 2017 12:01:57 -0700, by Jeff Hammel
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[logistic regression] propagateMon, 04 Sep 2017 11:53:23 -0700, by Jeff Hammel
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[requirements] add requirements file + fix toxMon, 04 Sep 2017 11:38:46 -0700, by Jeff Hammel
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note dependencies; need wheelsMon, 04 Sep 2017 11:33:51 -0700, by Jeff Hammel
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[regression] cleanup + proper structureMon, 04 Sep 2017 10:16:01 -0700, by Jeff Hammel
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[logistic regression] call cost functionMon, 04 Sep 2017 09:58:01 -0700, by Jeff Hammel
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[logistic regression] we have a working cost functionMon, 04 Sep 2017 09:14:25 -0700, by Jeff Hammel
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[logistic regression] introduce illustrative testMon, 04 Sep 2017 08:59:52 -0700, by Jeff Hammel
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[iterable] add function to tell True/False if argument is an iterableMon, 04 Sep 2017 08:37:06 -0700, by Jeff Hammel
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[logistic regression] smoke testsMon, 04 Sep 2017 08:36:24 -0700, by Jeff Hammel
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[numpy] of course we have to cast everything here tooSun, 03 Sep 2017 20:46:26 -0700, by Jeff Hammel
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add failing testSun, 03 Sep 2017 19:40:29 -0700, by Jeff Hammel
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[sigmoid] use numpy + add docstringSun, 03 Sep 2017 16:38:43 -0700, by Jeff Hammel
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more notes to selfSun, 03 Sep 2017 13:17:33 -0700, by Jeff Hammel
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[np] this is how broadcasting worksSun, 03 Sep 2017 12:11:03 -0700, by Jeff Hammel
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stub np broadcasting testSun, 03 Sep 2017 12:07:49 -0700, by Jeff Hammel
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[notes]Sun, 03 Sep 2017 12:04:00 -0700, by Jeff Hammel