Malar Kannan
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0a4d4fadeb
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implemented random sampling of data for oneshot loading
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2017-11-09 15:00:17 +05:30 |
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Malar Kannan
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b3a6aa2f6a
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clean-up
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2017-11-08 11:08:19 +05:30 |
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Malar Kannan
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7cbfebbf1a
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1. fixed missing wrong pairs
2.using different progress bakend
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2017-11-07 17:27:09 +05:30 |
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Malar Kannan
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b8a9f87031
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implemented padding and pipeline is complete
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2017-11-07 15:18:04 +05:30 |
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Malar Kannan
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15f29895d4
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implemented tfrecord reader and model refactor wip
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2017-11-07 00:10:23 +05:30 |
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Malar Kannan
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4188585488
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updated test code
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2017-10-31 17:41:02 +05:30 |
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Malar Kannan
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6fbf06814c
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updated model to use dense classifier
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2017-10-31 13:31:31 +05:30 |
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Malar Kannan
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5824158af2
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1. fixed neg values in spectrogram
2. refactored get word spectrogram code
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2017-10-25 16:52:45 +05:30 |
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Malar Kannan
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f1e82a2539
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added code to record and generate spectrogram, wip test model
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2017-10-25 15:38:03 +05:30 |
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Malar Kannan
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82d0398d2c
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formatted
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2017-10-25 13:36:41 +05:30 |
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Malar Kannan
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e6f0c8b21b
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1. clean-up code
2. implemented checkpoint model saving
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2017-10-24 16:41:35 +05:30 |
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Malar Kannan
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03d49d83e7
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updated learning rate
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2017-10-23 20:21:44 +05:30 |
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Malar Kannan
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6f3bca61cf
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1. fixed dimension issue in data
2. experimenting with different base network
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2017-10-23 19:00:27 +05:30 |
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Malar Kannan
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e865f17a0d
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pickling intermediate data to save memory usage
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2017-10-20 12:52:11 +05:30 |
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Malar Kannan
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8ae5104201
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added spectrogram to model data code and implemented simple rnn model
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2017-10-17 18:56:42 +05:30 |