from Hacker News

Efficient Neural Network Loss Landscape Generation

by r3tex on 4/29/19, 3:32 PM with 2 comments

  • by shele on 4/29/19, 4:28 PM

    This brings a wide spectrum of the Julia stack together and underlines the inherent interoperability of Julia solutions:

    Flux - Elegant Machine Learning Stack

    Makie - High level plotting on the GPU

    CuArrays - GPU arrays without code changes

    WebSockets - Websockets protocol in Julia

    WebIO - Simple abstraction for displaying and interacting with content

    Nextjournal - Making this reproducible online

  • by anshuligh on 4/29/19, 5:33 PM

    Cool article!

    In Makie, you can efficiently put a label on a slider by using

    `sliderplot, observable = AbstractPlotting.textslider(range, label, start = startvalue)`

    where sliderplot is the actual Scene object and observable is the value of the observable.