deeplearning4j-docs
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Documentation updates for 1.0.0-beta4
Here's a summary list of features and changes in beta4 that the docs will need to be updated for:
ND4J
- ND4J DataTypes support/changes
- Nd4j. new methods: createFromArray, DataType overloads for existing methods
- Update memory management page (periodic GC disabled by default; INDArray.close() method)
- Check pages for rank 0/1 support/changes
- Review, update and consolidate old pages
- Numpy NPZ support
- Reduction axis change (in op not as exec arg)
DL4J
- DL4J: MKL-DNN support
- Notes on DataTypes (datatype config) and datatype conversion.
- Update quickref guide: new layers (attention etc). L1/L2/Weight decay - classes now. Weight init: classes now. GELU activation. BERT iterator. Embedding layer word vectors based initialization. Capsule network layers. Cifar10DataSetIterator. Wassrstein loss.
- Evaluation: update for rank 4 support, and axis argument
- Check docs on ParallelInference; add notes on ModelAdapter
- NLP pages: add references/links for BERT WordPiece tokenizers. Notes on next format serialization
- UI page - add section on multi-user/multi-session support
- Update CUDA page for new CUDA versions
DataVec
- PythonTransform
- Add new transforms: FirstDigitTransform, TokenizerBagOfWordsTermSequenceIndexTransform, GazeteerTransform
- StreamInputSplit
SameDiff
- SameDiff docs in general
- Tensorflow import - examples, what is/isn't supported, etc
- TensorFlowImportValidator, GraphTransformUtil, convertToVariable/convertToConstant
- SameDiff UI
Arbiter
- Genetic algorithm search