Flux v0.13.15
Closed issues:
- MethodError from show on custom layer, using
@functorwith no fields (#2208) - Simple L2 regularisation with Flux.params excruciatingly slow (#2211)
- Quick start tutorial doesn't work; Flux.setup not defined (#2217)
- Migrating to new explicit-style Flux (#2221)
- should f16,f32, ... convert integer or boolean arrays? (#2225)
- Creation of Adversarial Examples (#2229)
Merged pull requests:
- Add a logistic regression example to the Getting Started section (#2021) (@Saransh-cpp)
- MultiHeadAttention implementation (#2146) (@CarloLucibello)
- Use consistent spelling for optimise (#2203) (@jeremiahpslewis)
- Fix a bug in show (#2210) (@mcabbott)
- Create dependabot.yml (#2212) (@CarloLucibello)
- Bump thollander/actions-comment-pull-request from 1.0.1 to 2.3.1 (#2213) (@dependabot[bot])
- manual gradient checks for RNN - implicit and explicit gradients (#2215) (@jeremiedb)
- doc entry for MultiHeadAttention (#2218) (@CarloLucibello)
- fix some documenter warnings (#2219) (@CarloLucibello)
- example code have a little mistake (#2223) (@jaco267)
- Update 2020-09-15-deep-learning-flux.md (#2224) (@natema)
- Fix link to ParameterSchedulers.jl docs (#2227) (@white-alistair)
- f16,f32,.. don't convert int arrays + handle complex (#2228) (@CarloLucibello)
- doc: Syntax in GAN tutorial (#2230) (@musoke)