v0.13.15

Flux v0.13.15

Diff since v0.13.14

Closed issues:

• MethodError from show on custom layer, using @functor with 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)