130 Commits

Author	SHA1	Message	Date
Roope Astala	d8cf73503e	update to version 1.0.6	2018-12-20 15:40:20 -05:00
Hai Ning	b35d14ab72	Update img-classification-part1-training.ipynb	2018-12-04 13:27:19 -05:00
Jeff Shepherd	a27cdbd478	Added setup and configuration files	2018-12-03 16:36:14 -08:00
rastala	a63f5084e0	big update 2	2018-12-03 17:38:20 -05:00
rastala	d26a4b0323	big update	2018-12-02 21:50:53 -05:00
rastala	5726fe3ddb	Version 0.1.80	2018-11-20 11:00:48 -05:00
rastala	d10b1fa796	Revert "Updated notebook folders" ... This reverts commit 06728004b6.	2018-11-20 10:39:48 -05:00
rastala	d7127de03c	Revert "Update tutorials/README.md" ... This reverts commit 50787f4ccc.	2018-11-20 10:39:34 -05:00
Roope Astala	50787f4ccc	Update tutorials/README.md	2018-11-19 13:35:11 -05:00
Roope Astala	06728004b6	Updated notebook folders	2018-11-19 13:28:49 -05:00
Roope Astala	7339c95ea0	New SDK version	2018-11-05 15:27:36 -05:00
Roope Astala	3148e52258	Merge pull request #60 from rastala/master ... fix json output	2018-10-25 12:48:28 -04:00
Roope Astala	dda402db83	fix json output	2018-10-25 12:47:38 -04:00
Roope Astala	603f4a6434	Merge pull request #58 from rastala/master ... Tutorial fixes	2018-10-24 13:47:05 -04:00
Roope Astala	114449dd9b	Tutorial fixes	2018-10-24 13:45:15 -04:00
Sheri Gilley	0dfe00d05a	Update 03.auto-train-models.ipynb ... fix link	2018-10-22 10:04:46 -05:00
Roope Astala	a4792d95ac	Update notebooks	2018-10-12 14:39:33 -04:00
Roope Astala	9b701ebaeb	updates to automl tutorial	2018-10-02 14:33:28 -04:00
Roope Astala	231c1062a8	update notebooks for new version	2018-10-01 13:45:50 -04:00
Sheri Gilley	b0b0756aed	fix links	2018-09-28 17:24:37 -05:00
Roope Astala	ae8874ad32	mitigation to image creation issue	2018-09-27 12:50:38 -04:00
Aleksi Sitomaniemi	59bdd5a858	Fixed an error on Data Exploration chapter ... The sample code comment discusses using a portion of the full dataset to make training faster, suggesting that the following code takes 100 first samples from the dataset. However, the code in repository actually leaves the first 100 items out, and picks the rest of the full set into the evaluated X_digits, Y_digits matrices.	2018-09-25 12:28:51 +03:00
rastala	a6c6e63451	Update notebooks	2018-09-23 21:56:44 -04:00
Roope Astala	87bb03f7a3	Update notebooks	2018-09-21 16:03:50 -04:00
rastala	90b3bf799f	Update notebooks ... Update notebooks	2018-09-20 10:02:39 -04:00
Roope Astala	227786a2bf	Update notebooks ... Update notebooks	2018-09-19 11:04:45 -04:00
Roope Astala	9477790c71	Notebook update ... Notebook update	2018-09-18 16:04:57 -04:00
Roope Astala	fe06e2116b	Update notebooks	2018-09-17 15:51:23 -04:00
Roope Astala	8178484586	Update notebooks	2018-09-14 15:14:43 -04:00
Roope Astala	01a12c0b74	Add tutorials ... Add tutorial notebooks	2018-09-13 14:21:36 -04:00