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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Harter-Lab-Notes</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>Recent changes to Harter-Lab-Notes</description><atom:link href="https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/feed" rel="self"/><language>en</language><lastBuildDate>Wed, 07 Jun 2017 15:27:44 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/feed" rel="self" type="application/rss+xml"/><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v6
+++ v7
@@ -5,7 +5,7 @@
 - Anderson, M. L. (2010). Neural reuse: A fundamental organizational principle of the brain. Behavioral and brain sciences, 33(04), 245-266. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.178&amp;amp;rep=rep1&amp;amp;type=pdf
 - Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(03), 181-204. http://www.fil.ion.ucl.ac.uk/~karl/Whatever%20next.pdf
 - Lake, B. M., Ullman, T. D., Tenenbaum, J. B., &amp;amp; Gershman, S. J. (2016). Building machines that learn and think like people. arXiv preprint arXiv:1604.00289.  https://arxiv.org/pdf/1604.00289.pdf
-    - [Harter-Notes-Lake-BBS-2016](Reading Notes, Lake BBS Article)
+    - [Harter-Notes-Lake-BBS-2016] Reading Notes, Lake BBS Article
 -  Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., ... &amp;amp; Petersen, S. (2015). Human-level control through deep reinforcement learning. Nature, 518(7540), 529. http://www.davidqiu.com:8888/research/nature14236.pdf

 - Schaul, T., Quan, J., Antonoglou, I., &amp;amp; Silver, D. (2016). Prioritized Experience Replay. In International Conference on Learning Representations (ICLR). Retrieved from http://arxiv.org/abs/1511.05952 (DQN+)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Wed, 07 Jun 2017 15:27:44 -0000</pubDate><guid>https://sourceforge.net92ad93e9752f6761cfc729d6121d248ec9497658</guid></item><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v5
+++ v6
@@ -5,6 +5,7 @@
 - Anderson, M. L. (2010). Neural reuse: A fundamental organizational principle of the brain. Behavioral and brain sciences, 33(04), 245-266. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.178&amp;amp;rep=rep1&amp;amp;type=pdf
 - Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(03), 181-204. http://www.fil.ion.ucl.ac.uk/~karl/Whatever%20next.pdf
 - Lake, B. M., Ullman, T. D., Tenenbaum, J. B., &amp;amp; Gershman, S. J. (2016). Building machines that learn and think like people. arXiv preprint arXiv:1604.00289.  https://arxiv.org/pdf/1604.00289.pdf
+    - [Harter-Notes-Lake-BBS-2016](Reading Notes, Lake BBS Article)
 -  Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., ... &amp;amp; Petersen, S. (2015). Human-level control through deep reinforcement learning. Nature, 518(7540), 529. http://www.davidqiu.com:8888/research/nature14236.pdf

 - Schaul, T., Quan, J., Antonoglou, I., &amp;amp; Silver, D. (2016). Prioritized Experience Replay. In International Conference on Learning Representations (ICLR). Retrieved from http://arxiv.org/abs/1511.05952 (DQN+)
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Wed, 07 Jun 2017 15:27:09 -0000</pubDate><guid>https://sourceforge.net789d7981c85cd751ca65ac866f9f28f99532fc5a</guid></item><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v4
+++ v5
@@ -17,7 +17,7 @@
 ## Links
 - Play the Atari Games, including Frostbite: http://www.virtualatari.org/soft.php?soft=Frostbite

-# Dated Lab Notes
+# Notes by Date
 ## 6/3/2017

 The following site is a good reference for comparing and understanding GPU capabilities for Nvidia cards for deep learning:  http://timdettmers.com/2017/04/09/which-gpu-for-deep-learning/
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Sat, 03 Jun 2017 22:03:19 -0000</pubDate><guid>https://sourceforge.net5d8ff33421857fe1fdb102361f475439f05e83c0</guid></item><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v3
+++ v4
@@ -22,5 +22,9 @@

 The following site is a good reference for comparing and understanding GPU capabilities for Nvidia cards for deep learning:  http://timdettmers.com/2017/04/09/which-gpu-for-deep-learning/

-Based on this site we ended up going with the GTX 1080 Ti to replace our GPU in the cheetah Nvidia machine.
+Based on this site we ended up going with the GTX 1080 Ti to replace our GPU in the cheetah Nvidia machine rather than the K80 cards used on the Amazon GPU instances.

+The cards are pretty new so I've been looking for some advice on installing on Ubuntu Linux.  This site is only a month old from this entry, and looks like it should help us get the drivers set up for the cards when they arrive: http://blog.nelsonliu.me/2017/04/29/installing-and-updating-gtx-1080-ti-cuda-drivers-on-ubuntu/
+
+
+
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Sat, 03 Jun 2017 22:00:04 -0000</pubDate><guid>https://sourceforge.nete0b831bf94e8a0111d09cd37044da9933c1dd598</guid></item><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v2
+++ v3
@@ -16,3 +16,11 @@

 ## Links
 - Play the Atari Games, including Frostbite: http://www.virtualatari.org/soft.php?soft=Frostbite
+
+# Dated Lab Notes
+## 6/3/2017
+
+The following site is a good reference for comparing and understanding GPU capabilities for Nvidia cards for deep learning:  http://timdettmers.com/2017/04/09/which-gpu-for-deep-learning/
+
+Based on this site we ended up going with the GTX 1080 Ti to replace our GPU in the cheetah Nvidia machine.
+
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Sat, 03 Jun 2017 21:56:53 -0000</pubDate><guid>https://sourceforge.netd568e88b07056b24a98a459ef745cc7c85aa6dd0</guid></item><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -1 +1,18 @@
 # Derek Harter: Lab / Project Notes
+
+## Articles
+
+- Anderson, M. L. (2010). Neural reuse: A fundamental organizational principle of the brain. Behavioral and brain sciences, 33(04), 245-266. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.178&amp;amp;rep=rep1&amp;amp;type=pdf
+- Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(03), 181-204. http://www.fil.ion.ucl.ac.uk/~karl/Whatever%20next.pdf
+- Lake, B. M., Ullman, T. D., Tenenbaum, J. B., &amp;amp; Gershman, S. J. (2016). Building machines that learn and think like people. arXiv preprint arXiv:1604.00289.  https://arxiv.org/pdf/1604.00289.pdf
+-  Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., ... &amp;amp; Petersen, S. (2015). Human-level control through deep reinforcement learning. Nature, 518(7540), 529. http://www.davidqiu.com:8888/research/nature14236.pdf
+
+- Schaul, T., Quan, J., Antonoglou, I., &amp;amp; Silver, D. (2016). Prioritized Experience Replay. In International Conference on Learning Representations (ICLR). Retrieved from http://arxiv.org/abs/1511.05952 (DQN+)
+- Wang, Z., Schaul, T., Hessel, M., van Hasselt, H., Lanctot, M., &amp;amp; de Freitas, N. (2016). Dueling network architectures for deep reinforcement learning. arXiv preprint. Retrieved from http://arxiv.org/abs/1511.06581 (DQN++)
+
+## Books
+- Clark, A. (2015). Surfing uncertainty: Prediction, action, and the embodied mind. Oxford University Press. https://www.amazon.com/Surfing-Uncertainty-Prediction-Action-Embodied/dp/0190217014
+
+
+## Links
+- Play the Atari Games, including Frostbite: http://www.virtualatari.org/soft.php?soft=Frostbite
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Sat, 03 Jun 2017 21:41:58 -0000</pubDate><guid>https://sourceforge.netce1748b8a2a54454f886d9c203defd5a3bcd5467</guid></item><item><title>Harter-Lab-Notes modified by Derek Harter</title><link>https://sourceforge.net/p/dnn-cog/wiki/Harter-Lab-Notes/</link><description>&lt;div class="markdown_content"&gt;&lt;h1 id="derek-harter-lab-project-notes"&gt;Derek Harter: Lab / Project Notes&lt;/h1&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Derek Harter</dc:creator><pubDate>Sat, 03 Jun 2017 21:41:12 -0000</pubDate><guid>https://sourceforge.net07b38ae67df3dfdc9b7372522a8cbcc3c3894c56</guid></item></channel></rss>