update NEWS.md

Author: ToucheSir

NEWS.md

@@ -1,5 +1,8 @@
 # Flux Release Notes
 
+## v0.12.9
+* Fixed incorrect output and added GPU compatibility for [AlphaDropout](https://github.com/FluxML/Flux.jl/pull/1781).
+
 ## v0.12.8
 * Optimized inference and gradient calculation of OneHotMatrix[pr](https://github.com/FluxML/Flux.jl/pull/1756)
 
@@ -12,7 +15,7 @@
 * REPL printing via [`show`](https://github.com/FluxML/Flux.jl/pull/1467) displays parameter counts.
 
 ## v0.12.4
-* Implemented an [`Embedding layer`](https://github.com/FluxML/Flux.jl/pull/1516) 
+* Implemented an [`Embedding layer`](https://github.com/FluxML/Flux.jl/pull/1516)
   based on `NNlib.gather` and `NNlib.scatter`.
 
 ## v0.12.1 - v0.12.3
@@ -37,8 +40,8 @@
 * New [`Parallel` layer](https://github.com/FluxML/Flux.jl/pull/1462) adds inception module-like building blocks.
 * Feature additions and bug fixes for BatchNorm, LayerNorm, InstanceNorm, and GroupNorm [normalization layers](https://github.com/FluxML/Flux.jl/pull/1397)
 * Added [Upsample and PixelShuffle layers](https://github.com/FluxML/Flux.jl/pull/1468)
-* End of deprecation cycle: loss functions cannot be accessed directly from `Flux` anymore, they live in the `Flux.Losses` module. 
- All loss functions perform `mean` aggregation by default. 
+* End of deprecation cycle: loss functions cannot be accessed directly from `Flux` anymore, they live in the `Flux.Losses` module.
+ All loss functions perform `mean` aggregation by default.
 
 ## v0.11.2