The torrent contains the parameters for another neural network, VGG16, that this network makes use of. VGG16 is a network developed by the Visual Geometry Group at Oxford[1]. They released their parameters under CC BY-NC 4.0 to save others from spending 2-3 weeks[2] training the network. Someone else converted those parameters to work with TensorFlow[3], which is what the torrent in this repository is.
I'm interested to see if neural network parameters become the new "binary blob". While in theory you could always retrain the network yourself, actually doing so takes a lot of work fiddling with the network's hyperparameters and requires significant computing resources.
I'm interested to see if neural network parameters become the new "binary blob". While in theory you could always retrain the network yourself, actually doing so takes a lot of work fiddling with the network's hyperparameters and requires significant computing resources.
[1] http://www.robots.ox.ac.uk/~vgg/research/very_deep/
[2] "On a system equipped with four NVIDIA Titan Black GPUs, training a single net took 2–3 weeks depending on the architecture." - arXiv:1409.1556
[3] https://github.com/ry/tensorflow-vgg16