Neural networks - Revision history

Tim at 22:40, 18 December 2016

2016-12-18T22:40:34Z

← Older revision		Revision as of 18:40, 18 December 2016
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	* https://arxiv.org/pdf/1606.04199.pdf		* https://arxiv.org/pdf/1606.04199.pdf
	* https://arxiv.org/abs/1609.08144		* https://arxiv.org/abs/1609.08144

			* https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf

	<markdown>		<markdown>
	#virtualenv		#virtualenv

2016-12-14T19:02:17Z

← Older revision		Revision as of 15:02, 14 December 2016
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	* https://www.aclweb.org/anthology/P/P15/P15-1166.pdf		* https://www.aclweb.org/anthology/P/P15/P15-1166.pdf
	* https://arxiv.org/pdf/1606.04199.pdf		* https://arxiv.org/pdf/1606.04199.pdf
			* https://arxiv.org/abs/1609.08144
	<markdown>		<markdown>
	#virtualenv		#virtualenv

2016-12-14T19:00:12Z

← Older revision		Revision as of 15:00, 14 December 2016
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	* https://arxiv.org/pdf/1409.0473v7.pdf		* https://arxiv.org/pdf/1409.0473v7.pdf
	* https://arxiv.org/pdf/1409.1259v2.pdf		* https://arxiv.org/pdf/1409.1259v2.pdf
			* https://www.aclweb.org/anthology/P/P15/P15-1166.pdf
			* https://arxiv.org/pdf/1606.04199.pdf
	<markdown>		<markdown>
	#virtualenv		#virtualenv

2016-12-14T16:55:23Z

← Older revision		Revision as of 12:55, 14 December 2016
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	# neural networks		= neural networks =
	~~###~~ refs		=== refs ===
	* [http://neuralnetworksanddeeplearning.com/chap3.html#softmax]		* http://neuralnetworksanddeeplearning.com/chap3.html#softmax
	* https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/		* https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/
	* https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXGindex.html		* https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXGindex.html

2016-12-14T16:54:28Z

2016-12-14T16:53:32Z

← Older revision		Revision as of 12:53, 14 December 2016
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	# neural networks		# neural networks
	### refs		### refs
	* http://neuralnetworksanddeeplearning.com/chap3.html#softmax		* [http://neuralnetworksanddeeplearning.com/chap3.html#softmax]
	* https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/		* https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/
	* https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXGindex.html		* https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXGindex.html

2016-12-14T16:50:41Z

← Older revision		Revision as of 12:50, 14 December 2016
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	* http://colah.github.io/posts/2015-09-Visual-Information/		* http://colah.github.io/posts/2015-09-Visual-Information/
	* https://hackernoon.com/traffic-signs-classification-with-deep-learning-b0cb03e23efb#.l7el8mov4		* https://hackernoon.com/traffic-signs-classification-with-deep-learning-b0cb03e23efb#.l7el8mov4

	nyt		nyt
	* http://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html		* http://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html

2016-12-14T16:49:54Z

@@ Line 2: / Line 2: @@
 <markdown>
 # neural networks
-## refs
+### refs
 * http://neuralnetworksanddeeplearning.com/chap3.html#softmax
-* https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/index.html
+* https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/
 ## setup
+    $ pip install --upgrade pip
      $ mkdir p3test
      $ cd p3test/
      $ virtualenv -p /c/Users/tim/Anaconda3/python.exe venv
      //for python 3.5 or  /c/Python27/python.exe for version2.7
@@ Line 23: / Line 38: @@
      >>> answer - tf.matmul([[7,], [6,]])

2016-12-13T18:35:03Z

← Older revision		Revision as of 14:35, 13 December 2016
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	prove its working		prove its working

			$ python
	Python 3.5.2 \|Continuum Analytics, Inc.\| (default, Jul 5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] on win32		Python 3.5.2 \|Continuum Analytics, Inc.\| (default, Jul 5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] on win32
	Type "help", "copyright", "credits" or "license" for more information.		Type "help", "copyright", "credits" or "license" for more information.

2016-12-13T18:34:14Z

@@ Line 2: / Line 2: @@
 <markdown>
 # neural networks
 * http://neuralnetworksanddeeplearning.com/chap3.html#softmax
 * https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/index.html
 </markdown>