FluxML/Flux.jl v0.14.23

on GitHub

Flux v0.14.23

Diff since v0.14.22

Merged pull requests:

• Support for lecun normal weight initialization (#2311) (@RohitRathore1)
• Some small printing upgrades (#2344) (@mcabbott)
• simplify test machinery (#2498) (@CarloLucibello)
• Correct dead link for "quickstart page" in README.md (#2499) (@zengmao)
• make gpu(x) = gpu_device()(x) (#2502) (@CarloLucibello)
• some cleanup (#2503) (@CarloLucibello)
• unbreak some data movement cuda tests (#2504) (@CarloLucibello)

Closed issues:

• Add support for lecun normal weight initialization (#2290)
• using Flux, cuDNN freezes, but using Flux, CUDA, cuDNN works (#2346)
• Problem with RNN and CUDA. (#2352)
• since new version: Flux throws error when for train! / update! even on quick start problem (#2358)
• Cannot take gradient of L2 regularization loss (#2441)
• Potential bug of RNN training flow (#2455)
• Problem with documentation (#2485)
• Flux has no Lecun Normalization weight init function? (#2491)
• Zygote fails to differentiate through Flux.params on julia v0.11 (#2497)
• ERROR: UndefVarError: ADAM not defined in Main in flux (#2507)