This workshop was hands-on : After a brief background on deep learning, participants started quickly, interacting with ConvNet.js models. But this on-line portion was partly to allow everyone enough time to get the ~1Gb VirtualBox “appliance” created for the event installed on their laptops. Fortunately, over 90% of the people who came already had VirtualBox installed, which was a huge relief.
Once everyone was up-to-speed tools-wise, the workshop then progressed through a series of
iPython) notebooks, ranging from Theano basics, through MNIST, to ImageNet networks
(pretrained models of both
Inception-v3 were included in the VM).
Then, for the last half-hour, we went over two interesting applications : One with a ‘commercial’ angle (transfer learning), the other ‘art’ (using style-transfer).
Naturally, this being a FOSS event, all the source is available on GitHub - if you have questions on the software, please leave an ‘issue’ there.
If there are any questions about the workshop please ask below, or contact me using the details given on the slides themselves.
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