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cs501r_f2016:lab5 [2016/09/15 09:18]
wingated
cs501r_f2016:lab5 [2016/09/19 08:47]
wingated
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 Also note that there are two versions of Tensorflow -- one that runs on GPUs, and one that runs only on the CPU.  You may want to try the GPU version first; if it works (and you have a GPU in your computer!) it may be **considerably** faster than the CPU only version. ​ Performance won't be a big deal for this lab, but it will matter more later on. Also note that there are two versions of Tensorflow -- one that runs on GPUs, and one that runs only on the CPU.  You may want to try the GPU version first; if it works (and you have a GPU in your computer!) it may be **considerably** faster than the CPU only version. ​ Performance won't be a big deal for this lab, but it will matter more later on.
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 +A few other notes:
 +  - The GPU version of Tensorflow has considerably more external dependencies - you will need to install several Nvidia packages to support it.  There be dragons there.
 +  - It might seem natural to use the ''​anaconda''​ install instructions,​ since that's what we're using in class. ​ However, I have found that the creation of virtual environments complicates life, and doesn'​t seem to work well with the notebooks we've been using. ​ A much simpler way is just to use the ''​pip''​ installation method.
  
 **Part 2: implement basic MNIST tutorial** **Part 2: implement basic MNIST tutorial**
cs501r_f2016/lab5.txt ยท Last modified: 2016/09/19 08:48 by wingated