[Diff since v0.11.0](https://github.com/FluxML/Flux.jl/compare/v0.11.0...v0.11.1)


**Closed issues:**
- ADADelta not training parameters (#1158)
- Improve repository's tags (#1181)
- CONTRIBUTING.md missing (#1182)
- Matrix times OneHotVector product does not check dimensions (#1223)
- Performance issue when calculating loss (#1255)
- Expose the RNGs used in initialization to the user (#1274)
- DataLoader fails on tuple input  (#1285)
- Unnecessarily slow normalisation, twice calculating mean (#1295)
- Basic example in docs fails (#1311)

**Merged pull requests:**
- Fixed Dimension Mismatch - AbtractMatrix and OneHotVector (#1242) (@maerory)
- Updated onehot.jl (#1256) (@Dsantra92)
- Update links and use main page of papers instead of their PDFs (#1276) (@Hieronimo)
- Corrections in the Optimisers section of documents (#1290) (@coldinjection)
- Expose RNG in initializers (#1292) (@findmyway)
- Change CuArrays to CUDA on docs homepage (#1297) (@scimas)
- Fix ADADelta calculations and broken tests not catching the problems (#1299) (@scimas)