v0.4.0

v0.4.0 (2019-11-19)

Diff since v0.3.0

Closed issues:

• while training, get InvalidIRError (#45)
• MethodError: no method matching maxpool(::Array{Float32,4}, ::Tuple{Int64,Int64}) (#44)
• MethodError: no method matching conv(::Array{Float32,4}, ::Array{Float64,4}; ...) (#28)
• Enable code coverage (#26)
• Download CIFAR-10 (#21)

Merged pull requests:

• Add compat entries (#49) (dhairyagandhi96)
• use Pkg3 (#48) (dhairyagandhi96)
• Replace maxpool with MaxPool (#43) (yuehhua)
• Update README.md (#37) (EMCP)
• Update utils.jl (#36) (shashikdm)
• Small readme edits (#35) (sklan)
• allow preprocessing grayscale images (#34) (KristofferC)
• Remove trailing bracket from README.md (#33) (dhairyagandhi96)
• [WIP] Refactor tests a bit (#27) (staticfloat)
• Fix deprecated functions (method_exists, Flux.argmax) (#25) (wookay)
• Update README image (#24) (Keno)
• Fix display of prediction frames (#23) (Keno)
• Automatically download CIFAR10 (#22) (avik-pal)

v0.3.0

bump julia version

v0.2.0: Merge pull request #14 from avik-pal/accuracy

[WIP] Improve Accuracy of Models

v0.1.2: Merge pull request #12 from avik-pal/patch_1

Fix Cifar10 untar problem

More models

Added binaries for 4 more models in this release:

1. GoogleNet
2. SqueezeNet
3. DenseNet121
4. ResNet50

Dog Eat Dog

v0.1.0

update readme

Models: Metalhead.jl generated files.

    license:  MIT
    authors:  Mike J Innes
    years:    2018
    user:     MikeInnes

Julia Version 0.6.3-pre.0 [93168a6826*]