Name: The Julia Approach to Machine Learning
Start: 2018-04-04T19:00:00+01:00
End: 2018-04-04T21:00:00+01:00
Location: Chaplins Bar 2 Hawkins St, Dublin 2 (across from Screen Cinema)

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/

Paulito Palmes

Dublin Julia Users Group

Technology

Predictive Analytics

Data Analytics

Data Science

Artificial Intelligence

Computer Programming

High Performance Computing

Machine Learning

Data Mining

Deep Learning

Julia Programming Language

The Julia Approach to Machine Learning

Chaplins Bar 2 Hawkins St, Dublin 2 (across from Screen Cinema)

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Dublin Julia Users Group

The Julia Approach to Machine Learning

Dublin Julia Users Group

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