Spark in me

All these things will be lost like tears in rain
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    Dec 4, 17
    Dec 4, 17
    Mar 15, 16

    What nobody will tell you about what they do

    A couple of real and funny cases from practice

    Identify fish challenge - playing with object detection

    Or working with large scale video datasets for beginners

    Поиск работы не закрывая глаза на реальность

    Или продолжение веселых приключений длиной в несколько кварталов

    Трудовая иммиграция в сфере IT / интернета

    Или советы от бывшего финансиста применительно к технической трудовой эмиграции

    What did the bird say? Part 8 - fast Squeeze-net on 800k images - 500s per epoch (instead of 10k - 20k seconds)

    What worked, what did not, or how to speed up your model training 20x times

    Get acquainted with U-NET architecture + some keras shortcuts

    Or U-NET for newbies, or a list of useful links, insights and code snippets to get you started with U-NET

    Yet another GPU server configuration guide

    Or a simple checklist to set-up your own server for deep learning

    What did the bird say? Part 7 - full dataset preprocessing (169GB)

    Or how I prepared a huge dataset for playing with neural networks - 169GB of bird songs

    What did the bird say? Part 6 - CNN proof of concept

    Or how we got ~70% accuracy with 132 classes on ca. ~7k bird song dataset

    What did the bird say? Part 5 - Dataset Preprocessing for CNNs

    You do not like birds? You just do no know how to cook them