Design Patterns for Deep Learning Architectures
http://www.deeplearningpatterns.com/
2017-09-19T18:44:41+00:00Design Patterns for Deep Learning Architectures
http://www.deeplearningpatterns.com/
http://www.deeplearningpatterns.com/lib/tpl/bootstrap3/images/favicon.icotext/html2017-09-17T11:03:33+00:00adminOn Theory - [On Theory]
http://www.deeplearningpatterns.com/doku.php/theory?rev=1505646213&do=diff
<https://docs.google.com/a/codeaudit.com/document/d/16bMjzUHs2LD5S9NzGYxKAx0ccFofGSgpO4LG1GtwLg4/edit?usp=sharing>
On Theory
Background
Richard Feynman, the 1965 Nobel Prize winner in Physics, gave us an insightful lecture concerning computer heuristics. In his own unique way, he gives a lecture about how computers perform their tasks in a way that is accessible to most anyone. In this lecture, he is asked the questions as whether a computer will eventually think like a human or alternativel…text/html2017-09-17T02:48:36+00:00adminApplications
http://www.deeplearningpatterns.com/doku.php/applications?rev=1505616516&do=diff
Applications
When we first are introduced to deep learning, we see it as a better machine learning classifier. Alternatively, we could subscribe to the hype that it is 'brain-like' neuro-computing. In the former instance, we grossly underestimate the kinds of applications we can build with this. In the later instance, we grossly overestimate its capabilities and as a consequence overlook the kind of applications that are not general artificial intelligence, but applications that are more r…text/html2017-09-15T17:39:33+00:00adminModel Patterns - [Model Patterns]
http://www.deeplearningpatterns.com/doku.php/model?rev=1505497173&do=diff
<https://docs.google.com/a/codeaudit.com/document/d/1vqLebanMrNW0-CkQlHpgy6pxeq3lDrIUPr64hifIlis/edit?usp=sharing>
Model Patterns
Neural Networks are typically described by what they are made of. That is the individual construction of their internal components. These components are defined as mathematical expressions that are parameterized with their weights. Fully connected feedforward networks, convolution networks and recurrent networks all are constructed using different mathematical ex…