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wiki:aca2019:project [2019/02/28 01:03] – [Suggested Papers to Validate/Expand] Andreas Moshovoswiki:aca2019:project [2019/02/28 01:04] (current) – [Suggested Papers to Validate/Expand] Andreas Moshovos
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   * [[https://dl.acm.org/citation.cfm?id=3021745|ESE: efficient speech recognition engine with sparse LSTM on FPGA]]   * [[https://dl.acm.org/citation.cfm?id=3021745|ESE: efficient speech recognition engine with sparse LSTM on FPGA]]
   * Or take a look at this list [[https://github.com/fengbintu/Neural-Networks-on-Silicon|https://github.com/fengbintu/Neural-Networks-on-Silicon]]   * Or take a look at this list [[https://github.com/fengbintu/Neural-Networks-on-Silicon|https://github.com/fengbintu/Neural-Networks-on-Silicon]]
-  * And feel free to search online for others. There is tons of very interesting and excellent work that I have not had the chance to include above. By no means is the above a complete list.  I listed works that I thought would be "reasonable" to try to recreate (in part) as part of a course project.+  
 +And feel free to search online for others. There is tons of very interesting and excellent work that I have not had the chance to include above. By no means is the above a complete list.  I listed works that I thought would be "reasonable" to try to recreate (in part) as part of a course project. Keep in mind, we are validating work. We get the benefit of knowing what to look for and what to evaluate. It is a lot harder and time consuming to start from scratch. There was a lot more time/work spent to arrive at these configurations and choices.