publish deep learning post

Author: dwhitena

content/post/deeplearning_in_go_part_1.md

@@ -3,7 +3,7 @@ title = "Deep Learning from Scratch in Go - Part 1: Equations Are Graphs"
 subtitle = ""
 date = "2017-04-19T08:43:45+10:00"
 math = true
-draft = true
+draft = false
 
 +++
 
@@ -401,4 +401,4 @@ If you're working on a truly homoiconic language such as lisp or Julia, you prob
 
 Do note that this isn't a knock on Go or Python or Lua. All of these languages have their strengths and weaknesses. But why do deep learning related work in Go when there are more mature libraries in Python or Lua? Well, one of the major reasons I developed Gorgonia was the ability to deploy everything neatly into one single binary. Doing that with Python or Lua would take an immense amount of effort. By contrast, deploying Go programs are a breeze. 
 
-I believe that Go for data science is an amazing idea. It is typesafe (enough for me), and it's compiled down to binary. Go allows for better mechanical sympathy, which I believe is key to having faster and better AI out there. Afterall, we are ALL bound by our hardware. I just wish there were better higher level data structures for me to express my ideas. There weren't, so I built them. And I hope you use them.
+I believe that Go for data science is an amazing idea. It is typesafe (enough for me), and it's compiled down to binary. Go allows for better mechanical sympathy, which I believe is key to having faster and better AI out there. Afterall, we are ALL bound by our hardware. I just wish there were better higher level data structures for me to express my ideas. There weren't, so I built them. And I hope you use them.