The Julia Approach to Machine Learning

Julia machine learning ecosystem is getting stable now that Julia 1.0 release is in the horizon. This talk will cover usage of popular machine learning packages in Julia and discuss their main strengths and weaknesses. The presentation will be mostly by interactive demos.

• Packages

• TensorFlow (https://github.com/malmaud/TensorFlow.jl)
• Flux (https://github.com/FluxML/Flux.jl)
• Knet (https://github.com/denizyuret/Knet.jl)
• MXNet (https://github.com/dmlc/MXNet.jl)
• Combine (https://github.com/ppalmes/Combine.jl)

• Important to know
http://juliacon.org/2018/