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5 | 5 | * Support rectangle input for CNN.
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6 | 6 | * Support stride pooling for seqlastin and seqfirstin.
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7 | 7 | * Expose seq_concat_layer/seq_reshape_layer in `trainer_config_helpers`.
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| 8 | +* Add dataset package |
| 9 | + - CIFAR, MNIST, IMDB, WMT14, CONLL05, movielens, imikolov. |
| 10 | +* Add Priorbox layer for Single Shot Multibox Detection. |
| 11 | +* Add smooth L1 cost. |
8 | 12 | * Add data reader creator and data reader decorator for v2 API.
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9 | 13 | * Add the cpu implementation of cmrnorm-projection.
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10 | 14 |
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14 | 18 | * Reorganize the catalog of doc/ and refine several docs.
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15 | 19 | * Add Travis-CI for checking dead links.
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16 | 20 | * Add a example for explaining sparse_vector.
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| 21 | +* Add Relu in layer_math.py |
| 22 | +* Simplify data processing flow for quick start. |
| 23 | +* Support CUDNN Deconv. |
| 24 | +* Add data feeder for v2 API. |
| 25 | +* Support predicting the samples from sys.stdin for sentiment demo. |
| 26 | +* Provide multi-proccess interface for image preprocessing. |
| 27 | +* Add benchmark document for v1 API. |
17 | 28 | * Add Relu in layer_math.py.
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18 | 29 | * Add packages for automatically downloading public datasets.
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19 | 30 | * Rename Argument::sumCost to Argument::sum since Argument does not have to have any relationship with cost.
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35 | 46 | * Fix LogActivation which is not defined.
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36 | 47 | * Fix bug when run test_layerHelpers multiple times.
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37 | 48 | * Fix protobuf size limit on seq2seq demo.
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| 49 | +* Fix bug for dataprovider converter in GPU mode. |
| 50 | +* Fix bug in GatedRecurrentLayer which only occurs in predicting or `job=test` mode. |
| 51 | +* Fix bug for BatchNorm when testing more than models in test mode. |
38 | 52 | * Fix unit test of paramRelu.
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39 | 53 | * Fix some warning about CpuSparseMatrix.
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40 | 54 | * Fix MultiGradientMachine error if trainer_count > batch_size.
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