Online or onsite, instructor-led live Chainer training courses demonstrate through interactive hands-on practice how to use Chainer to build and train neural networks in Python while making the code easy to debug.
Chainer training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Chainer training can be carried out locally on customer premises in Kortrijk or in NobleProg corporate training centers in Kortrijk.
You can rent 3 meeting rooms and an indoor terrace in VORK. Coffee, tea and water are always available. Everything is there t...
You can rent 3 meeting rooms and an indoor terrace in VORK. Coffee, tea and water are always available. Everything is there to prepare the meeting rooms yourself.
Would you like a sandwich lunch? Or would you like to combine your meeting with a lunch in the restaurant? It's all possible in VORK!
Everything is available to prepare the meeting rooms yourself. Possibility of lunch (e.g. soup, sandwiches, etc.) or dinner in the restaurant after consultation with the restaurant manager.
Additional facilities: clickshare available, video conference option.
VORK is centrally located in the city and is therefore easily accessible on foot, by bicycle or by public transport. If you come by car, you can park underground or above ground at the following locations:
Underground: Schouwburg parking, Veemarkt parking, K in Kortrijk, Budabrug parking, Houtmarkt parking
Above ground: Station (Conservatoriumplein), Broeltorens (Ijzerkaai), Harbor (Botenkopersstraat), Kortrijk Weide (Nelson Mandelaplein).
The first hour is always free! If you park for longer than one hour, you will have to pay (from €1).
You can also park your car for free at Parking Expo (P+R) and take a free bus from De Lijn to the center. Redeem ticket with the bus driver: free parking + return ticket to the city center.
More information at www.parko.be
This instructor-led, live training in Kortrijk (online or onsite) is aimed at researchers and developers who wish to use Chainer to build and train neural networks in Python while making the code easy to debug.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing neural network models.
Define and implement neural network models using a comprehensible source code.
Execute examples and modify existing algorithms to optimize deep learning training models while leveraging GPUs for high performance.
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