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
Posted by snakers41 on August 19, 2017
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
Posted by snakers41 on August 14, 2017
Yet another GPU server configuration guide
Or a simple checklist to set-up your own server for deep learning
Posted by snakers41 on August 9, 2017
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
Posted by snakers41 on August 7, 2017
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
Posted by snakers41 on July 29, 2017
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
Posted by snakers41 on July 29, 2017
What did the bird say? Part 4 - Dataset choice, data download and pre-processing, visualization and analysis
Or what we should do before feeding our data to CNN
Posted by snakers41 on July 22, 2017
What did the bird say? Bird voice recognition. Part 3 - Listen to the birds
And a bit more of taxonomic analysis
Posted by snakers41 on July 22, 2017
What did the bird say? Part 1 - The beginning
Did you hear the word of the bird? No seriously
Posted by snakers41 on July 16, 2017
An overview on SMTP relays by an outsider - middle 2017
Do not feed the monkey!
Posted by snakers41 on July 13, 2017