TastyPancakes/Flux.jl
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

typo

Browse Source
This commit is contained in:
Mike Innes 2019-10-22 13:36:39 +01:00
parent 776023ddad
commit 7ead2d6c7b
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
src/optimise/optimisers.jl
View File

@ -27,7 +27,7 @@ gs = gradient(ps) do
loss(x, y) loss(x, y)
end end
Flux.Optimise.update(opt, ps, gs) Flux.Optimise.update!(opt, ps, gs)
``` ```
""" """
mutable struct Descent mutable struct Descent
@ -230,7 +230,7 @@ Variant of ADAM based on ∞-norm.
## Examples ## Examples
```julia ```julia
opt = AdaMax() # uses default η and β opt = AdaMax() # uses default η and β
opt = AdaMax(0.001, (0.9, 0.995)) opt = AdaMax(0.001, (0.9, 0.995))
``` ```
@ -405,7 +405,7 @@ Variant of ADAM defined by fixing weight decay regularization.
## Examples ## Examples
```julia ```julia
opt = ADAMW() # uses default η, β and decay opt = ADAMW() # uses default η, β and decay
opt = ADAMW(0.001, (0.89, 0.995), 0.1) opt = ADAMW(0.001, (0.89, 0.995), 0.1)
``` ```
## References ## References