FluxML/Flux.jl v0.13.4 on GitHub

Flux v0.13.4

Closed issues:

Repository: on the addition of loss/distance functions and other niceties to Flux (#826)
trainable for BatchNorm stops parameters from being saved and loaded (#1027)
Non-descriptive arg in Conv: why filter intead of size? (#1212)
Ada or ADA (#1949)
Make gpu(::DataLoader) work or error loudly if it doesn't (#1974)
Conversion error when loading a model with v0.13+ with BSON (#1984)
GPU broadcasting error when using softmax on GPU (#1994)
Error when using CUDA (#1997)
type cannot been referred with structured model function (#2000)
[Broken Documentation] Dense(1 => 1) (#2001)

Merged pull requests:

Fix slight typos in LayerNorm docs (#1975) (@theabhirath)
Piratical errors for two mistakes (#1976) (@mcabbott)
Show using Flux before BSON @load (#1977) (@JeffFessler)
Update docstrings of basic.jl and conv.jl (#1978) (@Saransh-cpp)
Added Common GPU Workflows in Docs (#1980) (@lfenzo)
PairwiseFusion layer, take 2 (#1983) (@theabhirath)
deprecations.jl: depwarn -> Base.depwarn (#1985) (@skleinbo)
Update docstrings in upsample.jl, recurrent.jl, and normalise.jl (#1995) (@Saransh-cpp)
replace ADAM with Adam and its variants thereof (#1996) (@Karthik-d-k)
Make Dropout docs a little more user friendly (#2014) (@theabhirath)