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workshops:tutorial3 [2018/11/03 10:05] temaworkshops:tutorial3 [2018/11/03 10:11] tema
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 | 16:30 - 17:00  | Coffee break                                                                         | | 16:30 - 17:00  | Coffee break                                                                         |
 | 17:00 - 18:30  | Live coding session "How to implement your parallel CNN from scratch in 90 minutes"  | | 17:00 - 18:30  | Live coding session "How to implement your parallel CNN from scratch in 90 minutes"  |
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 +
 +===== Useful Links =====
 +
 +  * Login to Jupyter Hub [[https://sachub.oi.pe/jhub|here]].  Pick any username; use the password that will be announced during the tutorial.  This will create a session (persists for 24 hours) where you can run notebooks or work via the terminal.
 +  * The notebook with code snippets from the first part of the tutorial is [[https://www.macs.hw.ac.uk/gitlab/tema/pact-slides|here]]
 +  * Full code for the CNN is [[https://github.com/SacBase/CNN|here]].  The ''cnn.sac'' is a version without set comprehension, and it uses a few tricks to make it run faster.  The ''cnn_template.sac'' replaces all the with-loops with set-comprehensions; this becomes more readable but it may have a bit more runtime overheads.
  
 ===== Rationale ===== ===== Rationale =====
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-===== Useful Links ===== 
  
-  * Login to Jupyter Hub [[https://sachub.oi.pe/jhub|here]].  Pick any username; use the password that will be announced during the tutorial.  This will create a session (persists for 24 hours) where you can run notebooks or work via the terminal. 
-  * The notebook with code snippets from the first part of the tutorial is [[https://www.macs.hw.ac.uk/gitlab/tema/pact-slides|here]] 
-  * Full code for the CNN is [[https://github.com/SacBase/CNN|here]].  The ''cnn.sac'' is a version without set comprehension, and it uses a few tricks to make it run faster.  The ''cnn_template.sac'' replaces all the with-loops with set-comprehensions; this becomes more readable but it may have a bit more runtime overheads.