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 Southampton or in NobleProg corporate training centers in Southampton.
NobleProg -- Your Local Training Provider
Southampton
International House, Southampton International Business Park, Southampton, united kingdom, SO18 2RZ
This centre occupies a great position - highly visible from the M27 motorway. The building's focal point is a beautiful at...
This centre occupies a great position - highly visible from the M27 motorway. The building's focal point is a beautiful atrium flooding the reception area with natural light. A comfortable, professional business lounge and a large breakout area where you can relax or network add to the welcoming atmosphere. This is an outstanding south coast location next to Southampton airport with air, road and rail transport links on the doorstep. Regular launches and exhibitions held at the centre have contributed to its reputation as a hub of business and cultural activity. Southampton is an innovative and enterprising city with thousands of thriving organisations and tens of thousands of productive people. The most significant sectors in terms of businesses and employee numbers are distribution, tourism, banking and finance-related activities. It also has one of the top 10 research-led universities in the UK, which provides a wide range of services to the business community.
This instructor-led, live training in Southampton (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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