<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>davidmr</author><text>This is a great start, and I find your code extremely easy to read.&lt;p&gt;I might suggest some example code for more advanced methods of data ingestion. All the code I see uses feed_dict, which is certainly the most straightforward, but once you start to try to ingest larger out-of-core datasets or use distributed tf, things get exceptionally complicated (to me at least).&lt;p&gt;Some simple-ish code with queue runners and the new Dataset API would really be helpful.</text><parent_chain></parent_chain></comment><story><title>TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow</title><url>https://github.com/astorfi/TensorFlow-World</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>irsina</author><text>This open source project is aimed to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. Each tutorial has a source code and its documetation.</text><parent_chain></parent_chain></comment><story><title>TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow</title><url>https://github.com/astorfi/TensorFlow-World</url></story>