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v0.10 changes #945

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v0.10 changes #945

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4481c74
v0.10 changes
Nov 28, 2019
1ae554d
rm new line
Nov 28, 2019
c17dc34
phew
DhairyaLGandhi Nov 28, 2019
73d572b
rm RADAM
Nov 28, 2019
8519833
Merge branch 'dg/news' of https://github.com/FluxML/Flux.jl into dg/news
Nov 28, 2019
4b63e69
bump version to v0.10
Nov 28, 2019
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13 changes: 13 additions & 0 deletions NEWS.md
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# v0.10.0
* The default AD engine has switched from [Tracker to Zygote.jl](https://github.com/FluxML/Flux.jl/pull/669)
- The dependency on Tracker.jl has been removed.
- This means Flux now does not depend on using a specialised `TrackedArray` type, and can be used with normal Array implementations directly.
- Tracker compatibility is maintained in most common cases, but Zygote will be the preferred AD backend for Flux from now on.
* The CUDNN wrappers have been [moved from Flux into CuArrays](https://github.com/FluxML/Flux.jl/pull/874), to allow for better supporting the CUDA backend, and improve user experience, not to mention making Flux lean.
* `*crossentropy` functions now [work as expected with CuArrays](https://github.com/FluxML/Flux.jl/pull/926). [PR for binarycrossentropy](https://github.com/FluxML/Flux.jl/pull/940).
* Added [clearer docs](https://github.com/FluxML/Flux.jl/pull/904) around training and the Optimiser interface.
* [Layer initialisations](https://github.com/FluxML/Flux.jl/pull/937) have been improved with a clearer API on how to extend it for other purposes.
* [Better messaging around CUDA availability](https://github.com/FluxML/Flux.jl/pull/924), with hooks to initialize the GPU as default where possible.
* `@treelike` has been formalised as a [functor](https://github.com/FluxML/Flux.jl/pull/865), with an effective deprecation.
* `testmode!` is deprecated in favour of [istraining](https://github.com/FluxML/Flux.jl/pull/669)

# v0.9.0
* [Depthwise convolutional layer API changes](https://github.com/FluxML/Flux.jl/pull/756) from `in => mult` channel specification to `in => out` channel specification, and deprecates implicit `out` constructor.
* New [SkipConnection](https://github.com/FluxML/Flux.jl/pull/446), which can be used to train residual neural network architectures.
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2 changes: 1 addition & 1 deletion Project.toml
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name = "Flux"
uuid = "587475ba-b771-5e3f-ad9e-33799f191a9c"
version = "0.9.0"
version = "0.10.0"

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
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