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Commits on Jun 21, 2015

• Made Numpy forward pass indexing closer to guide

  ramon-astudillo

  committedJun 21, 2015
  40957aa

• Training cost in MLP is now averaged per batch

  ramon-astudillo

  committedJun 21, 2015
  c764f04

Commits on Jun 18, 2015

• Included changes from multinomial_naive_bayes.py in student

  ramon-astudillo

  committedJun 18, 2015
  c2af089

• Small improvements to day6.py script

  ramon-astudillo

  committedJun 18, 2015
  62dbff3

• Changed mode of day*.py scripts

  ramon-astudillo

  committedJun 18, 2015
  3eb8099

Commits on Jun 17, 2015

• Marked clearly solutions to exercises

  ramon-astudillo

  committedJun 17, 2015
  7998eda

Commits on Jun 16, 2015

• Merge branch 'master' of https://github.com/LxMLS/lxmls-toolkit

  ramon-astudillo

  committedJun 16, 2015
  2259ff3

• Removed old comments in day6.py

  ramon-astudillo

  committedJun 16, 2015
  c1c0d20

Commits on Jun 12, 2015

• Corrected compiled batch, now faster as expected

  ramon-astudillo

  committedJun 12, 2015
  92c1902

• np.allclose() now used for day6.py checks

  ramon-astudillo

  committedJun 12, 2015
  53513cb

Commits on Jun 7, 2015

• Merge pull request LxMLS#42 from davidbp/master

  ramon-astudillo

  committedJun 7, 2015
  c6796dc

• no need to use np.tile

  

  David Buchaca

  authored and

  David Buchaca

  committedJun 7, 2015
  6f511ab

Commits on Jun 2, 2015

• Merge pull request LxMLS#40 from davidbp/master

  ramon-astudillo

  committedJun 2, 2015
  0927260

• permutation must be computed at each epoch

  

  David Buchaca

  authored and

  David Buchaca

  committedJun 2, 2015
  4c0d9f0

Commits on May 31, 2015

• Merge pull request LxMLS#31 from FilippoC/crf_import_bug

  ramon-astudillo

  committedMay 31, 2015
  56b82f9

Commits on May 30, 2015

• Merge pull request LxMLS#34 from dcferreira/eisnerv2

  ramon-astudillo

  committedMay 30, 2015
  cf089ac

Commits on May 29, 2015

• Merge pull request LxMLS#38 from davidbp/master

  ramon-astudillo

  committedMay 29, 2015
  17381b9

• Update perceptron.py

  davidbp

  committedMay 29, 2015
  31e369a

Commits on May 25, 2015

• Deep learning day updated in day6.py

  ramon-astudillo

  committedMay 25, 2015
  4322f48

• Merge pull request LxMLS#36 from ramon-astudillo/master

  ramon-astudillo

  committedMay 25, 2015
  4e7358b

• day6.sh changed to day6.py

  ramon-astudillo

  committedMay 25, 2015
  f4dc716

• Merged with upstream/master

  ramon-astudillo

  committedMay 25, 2015
  aec1bc4

Commits on May 24, 2015

• Added propper casting to make code work on GPU

  ramon-astudillo

  committedMay 24, 2015
  4e67ca2

• Improvements on deep_learning code.

  ramon-astudillo

  committedMay 24, 2015
  52f4be1

Commits on May 22, 2015

• Removed sparse matrices, wont be needed

  ramon-astudillo

  committedMay 22, 2015
  a029e0e

Commits on May 19, 2015

• Cleaned up parse_proj -- looks a lot more like the pseudo-code in the guide now

  dcferreira

  committedMay 19, 2015
  d5d0d35

Commits on May 17, 2015

• Merge pull request LxMLS#32 from dcferreira/dcferreira

  ramon-astudillo

  committedMay 17, 2015
  2daed6d

• fixed gradient_descent to use the given cost/gradient function, instead of the globally defined get_y and grad functions

  

  Daniel

  committedMay 17, 2015
  3bb0fc5

Commits on Dec 10, 2014

• fix import error

  FilippoC

  committedDec 10, 2014
  72cbd55

Commits on Dec 5, 2014

• Merge pull request LxMLS#30 from FilippoC/maxent_bug

  ramon-astudillo

  committedDec 5, 2014
  c9b8383

Commits on Dec 4, 2014

• Fix in MaxEnt_Batch: enumerate() returns (index, value) and not (value, index)

  FilippoC

  committedDec 4, 2014
  7ad84f0

Commits on Oct 5, 2014

• Added informative header to the day7.py solutions

  ramon-astudillo

  committedOct 5, 2014
  ba9b7cc

Commits on Oct 1, 2014

• mlp.plot_weights no scales pics and gives more info.

  

  ramon

  committedOct 1, 2014
  6cc1442

• Renamed day7.sh as day7.py

  

  ramon

  committedOct 1, 2014
  4c83319

Commits on Sep 23, 2014

• Sparse matrices in the input layer now supported

  ramon-astudillo

  committedSep 23, 2014
  ef25030

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