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The Rate of Progress of Deep Learning Is the Slowest in 5 Years

3 点作者 Kuro1超过 6 年前
Today more people are working on deep learning than ever before -- around two orders of magnitude more than in 2014.<p>Time for something new!

4 条评论

altairiumblue超过 6 年前
I don&#x27;t think your post makes any sense.<p>It&#x27;s on AskHN and you don&#x27;t have a question. Also...<p>- How did you define and measure progress?<p>- How did you measure the number of people working in the field?<p>- If true, why would any of this be a problem?<p>- Why does a field need to constantly progress? For example, you could say that there&#x27;s been even less progress in linear regression or random forest methods over the past five years - this doesn&#x27;t take away from their usefulness in certain applications.<p>- Why would the assumed slow rate of progress mean that DL needs to be replaced?<p>- If you find more suitable solutions, you&#x27;re always free to implement them in place of DL.
hsikka超过 6 年前
I’m confused about a few things:<p>1. What is slowest based on?<p>2. Is the comment about people working in the field meant to demonstrate something about slowness or some other point?
Odenwaelder超过 6 年前
&quot;The slowest&quot; by which measure?
mindcrime超过 6 年前
<i>Time for something new!</i><p>What do you suggest?