Releases: Waikato/wekaDeeplearning4j
Releases · Waikato/wekaDeeplearning4j
wekaDeeplearning4j-v1.5.1
Changelog
- Fix
ResizeImageInstanceIterator
- Add a message on installation to inform users about available GPU support
- Remove
ConvolutionalInstanceIterator
interface from the available list of data iterators
SHA256 sums
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wekaDeeplearning4j-v1.5.0
Changelog
- Update Deeplearning4j to
1.0.0-beta
- Remove
GoogLeNet
(support was dropped in Deeplearning4j) - Fix de/serialization
- Rewrite buildscript in python
- Replace
kernselSizeX/Y
,strideX/Y
,paddingX/Y
withrow/column
- Add
Dl4jMlpFilter
class which uses a serializedDl4jMlpClassifier
as feature transformation - Add
WeightNoise
- Add
FlatToRelational
filter - Add
Dropout
implementations - Add
Schedule
s for parameters - Add more
Distribution
implementaitons - Add
LocalResponseNormalizationLayer
- Add
DropoutLayer
- Add iterator for ARFF datasets with relational sequence attributes:
RelationalInstanceIterator
- Add CUDA 9.0 and 9.1 support
- Add installation scripts for cuda libraries for linux/macosx and windows
Package Structure
Starting with version 1.5.0, the GPU libraries are to be installed via the install-cuda-libs
scripts. Further instructions can be found in the documentation.
SHA256 sums
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wekaDeeplearning4j-v1.5.0-alpha.4
Changelog
- Add
Dl4jMlpFilter
class which uses a serializedDl4jMlpClassifier
as feature transformation - Fix de/serialization
SHA256 sums
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wekaDeeplearning4j-v1.5.0-alpha.3
Changes
- Improve stability
SHA256 sums
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wekaDeeplearning4j-v1.5.0-alpha.2
Changelog
- Update docs
- Add installation scripts for cuda libraries for linux/macosx and windows
- Replace kernselSizeX/Y, strideX/Y, paddingX/Y with row/column
- Update README with new CUDA library installation instructions
- Update build script
- Fix options for tokenization and token preprocessor
Package Structure
From version 1.5.0-alpha.2 on, the GPU libraries are to be installed via the install-cuda-libs
scripts.
wekaDeeplearning4j-v1.5.0-alpha.1
Changelog
- Update Deeplearning4j API to 1.0.0-alpha
- Add WeightNoise
- Add Dropout implementations
- Add Schedules for parameters
- Add more Distribution implementaitons
- Restructured general packaging
- Add CUDA 9.0 and 9.1 support
New Package Structure
- Native (CPU) package compatible with Linux, MacOSX and Windows:
wekaDeeplearning4j-{VERSION}.zip
- GPU package for all cuda versions and all platforms:
wekaDeeplearning4j-cuda-{CUDA_VERSION}-{VERSION}-{PLATFORM}.zip
SHA256 sums
- wekaDeeplearning4j-1.5.0-alpha.1.zip
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wekaDeeplearning4j-v1.4.1
Changelog
- Add iterator for ARFF datasets with relational sequence attributes:
RelationalInstanceIterator
SHA256 sums
- ./build/wekaDeeplearning4j-CPU-1.4.1-linux-x86_64.zip
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wekaDeeplearning4j-v1.4.0
Changelog
This release focuses mainly on adding text classification and regression capabilities, introducing a new classifier and adding new iterators to handle text data accordingly using word embedding. See also: documentation and examples.
- Add a new classifier for sequence data:
RnnSequenceClassifier
(for now only applicable to text data) - Add text classification capabilities to
Dl4jMlpClassifier
- Add new Layers:
LSTM
,GravesLSTM
,RnnOutputLayer
- Add new iterators for text data (docs):
CnnTextEmbeddingInstanceIterator
CnnTextFilesEmbeddingInstanceIterator
RnnTextEmbeddingInstanceIterator
RnnTextFilesEmbeddingInstanceIterator
- Add dataset
CacheMode
for performance improvements
SHA256 sums
- wekaDeeplearning4j-CPU-1.4.0-linux-x86_64.zip
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wekaDeeplearning4j-v1.4.0-beta.4
Changelog
- Fix column/row naming in convolution
- Remove unsuccessful separation of iterators for Mlp/Rnn classifier
- Add CNN text examples in documentation
SHA256 sums
- wekaDeeplearning4j-CPU-1.4.0-beta.4-linux-x86_64.zip
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wekaDeeplearning4j-v1.4.0-beta.3
Changelog
- Add
GlobalPoolingLayer
for pooling of time/sequences - Introduce
CnnTextEmbeddingInstanceIterator
andCnnTextFilesEmbeddingInstanceIterator
for processing text data from arff files and from distributed document files correctly into convolutional ready shapes - Rename
Text(Files)EmbeddingInstanceIterator
toRnnText(Files)EmbeddingInstanceIterator
- Add CNN text classification and regression capabilities to
Dl4jMlpClassifier
(see also the documentation) - Update documentation
SHA256 sums
- wekaDeeplearning4j-CPU-1.4.0-beta.3-linux-x86_64.zip
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