Mercurial > pylearn
annotate doc/v2_planning/optimization.txt @ 1110:4797a4cb73e1
added comment to dataset.
author | Frederic Bastien <nouiz@nouiz.org> |
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date | Tue, 14 Sep 2010 09:08:11 -0400 |
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v2planning optimization - API draft
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1 ========================= |
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2 Optimization for Learning |
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3 ========================= |
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4 |
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5 Members: Bergstra, Lamblin, Delalleau, Glorot, Breuleux, Bordes |
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6 Leader: Bergstra |
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7 |
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8 |
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9 |
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10 Initial Writeup by James |
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11 ========================================= |
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12 |
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13 |
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14 |
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15 Previous work - scikits, openopt, scipy provide function optimization |
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16 algorithms. These are not currently GPU-enabled but may be in the future. |
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17 |
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18 |
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19 IS PREVIOUS WORK SUFFICIENT? |
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20 -------------------------------- |
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21 |
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22 In many cases it is (I used it for sparse coding, and it was ok). |
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23 |
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24 These packages provide batch optimization, whereas we typically need online |
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25 optimization. |
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26 |
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27 It can be faster (to run) and more convenient (to implement) to have |
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28 optimization algorithms as Theano update expressions. |
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29 |
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30 |
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31 What optimization algorithms do we want/need? |
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32 --------------------------------------------- |
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33 |
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34 - sgd |
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35 - sgd + momentum |
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36 - sgd with annealing schedule |
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37 - TONGA |
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38 - James Marten's Hessian-free |
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39 - Conjugate gradients, batch and (large) mini-batch [that is also what Marten's thing does] |
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40 |
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41 Do we need anything to make batch algos work better with Pylearn things? |
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42 - conjugate methods? yes |
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43 - L-BFGS? maybe, when needed |
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44 |
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45 |
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46 |
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47 |
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48 |
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49 Proposal for API |
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50 ================ |
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51 |
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52 See api_optimization.txt. |
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53 |
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54 OD: Do we really need a different file? If yes, maybe create a subdirectory to |
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55 be able to easily find all files related to optimization? |