Brutex
/
cavis
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
cavis/docs/deeplearning4j-scaleout
History
Alex Black 47d19908f4
Various fixes (#43) 
* #8172 Enable DL4J MKLDNN batch norm backward pass

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8308 Fix handful of broken links (inc. some in errors)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Unused dependencies, round 1

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Unused dependencies, round 2

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Unused dependencies, round 3

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Uniform distribution TF import fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
 		2019-11-14 19:38:20 +11:00
..
templates Various fixes (#43) 2019-11-14 19:38:20 +11:00
README.md Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
pages.json Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00

README.md

deeplearning4j-scaleout documentation

Build and serve documentation for deeplearning4j-scaleout with MkDocs (install with pip install mkdocs) The source for Keras documentation is in this directory under doc_sources/.

The structure of this project (template files, generating code, mkdocs YAML) is closely aligned with the Keras documentation and heavily inspired by the Keras docs repository.

To generate docs into the deeplearning4j-scaleout/doc_sources folder, first cd docs then run:

python generate_docs.py \
    --project deeplearning4j-scaleout \
    --code ../deeplearning4j
	--out_language en