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VERSION:2.0
PRODID:-//Banat IT - ECPv4.8.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Banat IT
X-ORIGINAL-URL:https://banatit.ro
X-WR-CALDESC:Events for Banat IT
BEGIN:VEVENT
DTSTART;TZID=UTC+2:20180303T140000
DTEND;TZID=UTC+2:20180303T180000
DTSTAMP:20260429T212855
CREATED:20180225T195002Z
LAST-MODIFIED:20180225T195002Z
UID:3785-1520085600-1520100000@banatit.ro
SUMMARY:Hands on Deep Leaning: from the first classifier to neural style transfer
DESCRIPTION:\n• What we’ll do1st part: setting up the environment: installing all the libraries for working with deep learning (python virtual environment\, python 3.5\, numpy\, tensorflow\, keras\, etc.).2nd part: we will create together a small neural network to classify MNIST digits3rd part: we will create a classifier for CIFAR-10. We will use different methods to improve the performance of our model.4th part: we will use deep learning for style transfer. This means the style of a piece of artwork will be transferred onto a picture. \n• What to bringA laptop with Ubuntu 16.04 installed. We are working on a docker for the ones with Windows systems. \n• Important to know \n
URL:https://banatit.ro/event/hands-on-deep-leaning-from-the-first-classifier-to-neural-style-transfer/
LOCATION:Startup Hub\, City Business Centre\, E Building\, Groundfloor Str. C Brediceanu\, nr. 10\, Timisoara\, ro
GEO:45.757106781006;21.22128868103
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Startup Hub City Business Centre E Building Groundfloor Str. C Brediceanu nr. 10 Timisoara ro;X-APPLE-RADIUS=500;X-TITLE=City Business Centre\, E Building\, Groundfloor Str. C Brediceanu\, nr. 10:geo:21.22128868103,45.757106781006
CATEGORIES:Meetup
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