1208: Fixing output format for `onehot` r=dhairyagandhi96 a=natema
Currently `Flux.OneHotVector` is displayed as a binary vector (0/1) rather than a boolean one (true/false). This is also shown in successive examples in the same page.
I fixed the `onehot(:b, [:a, :b, :c])` and `onehot(:c, [:a, :b, :c])` outputs in the first example of the page accordingly.
Co-authored-by: natema <natema@users.noreply.github.com>
`Flux.OneHotVector` is displayed as a binary vector (0/1) rather than a boolean (true/false) one, as is also shown in successive examples in the same page, so I fixed the `onehot(:b, [:a, :b, :c])` and `onehot(:c, [:a, :b, :c])` output as given by the current Julia version 1.4.2.
To make the example consistent, it should be
```
julia> Flux.trainable(a::Affine) = (a.W,)
```
not
```
julia> Flux.trainable(a::Affine) = (a.W, a.b)
```
1028: Common questions answered in docs r=CarloLucibello a=dhairyagandhi96
cc @MikeInnes
1070: Prevent breakage due to new `active` field in normalise layers r=CarloLucibello a=ianshmean
Prevents breakage where the normalise structs, such as `BatchNorm`, have been directly defined but missing the new `active` field
cc. @darsnack
Co-authored-by: Dhairya Gandhi <dhairya@juliacopmuting.com>
Co-authored-by: Dhairya Gandhi <dhairya@juliacomputing.com>
Co-authored-by: Ian <i.r.butterworth@gmail.com>
1053: Added Some Loss functions with some doc improvements r=CarloLucibello a=AdarshKumar712
Added the following loss functions with tests:
1. mae
2. mean squared logarithmic error
3. huber loss
4. squared hinge loss
5. dice coeff loss
6. tversky loss
Also added some documentation improvements for few other functions.
Co-authored-by: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com>
1057: add Julia ecosystem doc section r=CarloLucibello a=CarloLucibello
Partially fixing #251, related to the discussion in #1051 .
Not exactly a poem that I wrote here, maybe someone could suggest a better rephrasing.
Suggestion for additional packages to add to the list also welcome
Co-authored-by: CarloLucibello <carlo.lucibello@gmail.com>
960: Added utility function outdims to compute output dimensions of a layer r=dhairyagandhi96 a=darsnack
Based on Slack chatter, I added a utility function, `outdims`, that computes the output dimensions for given input dimensions.
Example
```julia
layer = Conv((3, 3), 3 => 16)
outdims(layer, (10, 10)) # returns (8, 8)
```
Co-authored-by: Kyle Daruwalla <daruwalla@wisc.edu>
bors[bot]