From 55430e207d9e1723eae1643b2a3f86fc441e19fc Mon Sep 17 00:00:00 2001 From: Dhairya Gandhi Date: Tue, 19 May 2020 16:34:28 +0530 Subject: [PATCH] add news --- NEWS.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/NEWS.md b/NEWS.md index 460a9e5b..c9b2188d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,13 @@ # v0.10.5 * Add option for [same padding](https://github.com/FluxML/Flux.jl/pull/901) to conv and pooling layers by setting `pad=SamePad()`. +* Added option to set `bias` to [Flux.Zeros](https://github.com/FluxML/Flux.jl/pull/873) to eliminating `bias` from being trained. +* Added `GlobalMaxPool` and `GlobalMeanPool` [layers](https://github.com/FluxML/Flux.jl/pull/950) for performing global pooling operations. +* Added `ClipValue` and `ClipNorm` in this [pr](https://github.com/FluxML/Flux.jl/pull/1133) to `Flux.Optimise` to provide a cleaner API for gradient clipping. +* Added new kwarg-only [constructors](https://github.com/FluxML/Flux.jl/pull/873) for the various convolutional layers. +* Documented the convolutional layer constructors accepting `weight` and `bias` keyword arguments to supply custom arrays for those fields. +* Testing suite improvements now test for gradients of all layers along with GPU support. +* Functors have now moved to [Functors.jl](https://github.com/FluxML/Flux.jl/pull/1174) to allow for their use outside of Flux. +* Added [helper functions](https://github.com/FluxML/Flux.jl/pull/873) `Flux.convfilter` and `Flux.depthwiseconvfilter` to construct weight arrays for convolutions outside of layer constructors so as to not have to depend on the default layers for custom implementations. # v0.10.0 * The default AD engine has switched from [Tracker to Zygote.jl](https://github.com/FluxML/Flux.jl/pull/669)