Data Science, Python, Games (Deep Learning)http://napitupulu-jon.appspot.com//enSat, 14 Jan 2017 01:22:10 GMThttps://getnikola.com/http://blogs.law.harvard.edu/tech/rssDeep Learning for Letter Recognition with Tensorflowhttp://napitupulu-jon.appspot.com/posts/deep-learning-tensorflow-mnist.htmlJonathan Hari Napitupulu<div tabindex="-1" id="notebook" class="border-box-sizing"> <div class="container" id="notebook-container"> <div class="cell border-box-sizing text_cell rendered"> <div class="prompt input_prompt"> </div> <div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <p>It's been 6 months since my last blog. There are multiple blog drafts to be honest, but many of them took a really long time to finish. I guess I should have sliced the material a bit to multiple blogs. Anyway in this blog, I want to show how to achieve more than 95% accuracy with just Macbook Air. So let's dig down to details.</p> <p>This material originally comes <a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/udacity/4_convolutions.ipynb">Deep Learning Lecture 4 from Udacity</a>. In this blog, Pickling, reformat, accuracy, and session are theirs, but the architecture is my own which is the core of Deep Learning. It's kind of refreshing because I have experience it before (yes, Andrew Ng's Coursera Machine Learning on Neural Network). </p><p><a href="http://napitupulu-jon.appspot.com/posts/deep-learning-tensorflow-mnist.html">Read moreā€¦</a> (11 min remaining to read)</p></div></div></div></div></div>Data ScienceDeep Learningmachine learningNeural NetworksTensorflowUdacityhttp://napitupulu-jon.appspot.com/posts/deep-learning-tensorflow-mnist.htmlFri, 13 Jan 2017 13:00:14 GMT