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. Sharjah onsite live Chainer trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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Sharjah Expo Centre
Al Taawun Street, Al Khan, United Arab Emirates, P.O.Box 3222
Located in the United Arab Emirates (UAE), Expo Centre Sharjah naturally commands a strategic position at the heart of the re...
Located in the United Arab Emirates (UAE), Expo Centre Sharjah naturally commands a strategic position at the heart of the region’s business and commercial hub. As a stable and dynamic country, the UAE is an established gateway to the Middle East and beyond into the CIS region, North Africa and the Indian Subcontinent.
This is one of the newest Expo centres in the UAE. Adjacent to the Corniche with convenient connections to the E11, the UAE’s longest road, it’s a strategic location with excellent links to Dubai and the airport. This centre's location is ideal for companies with international clients, and for those that value convenience, accessibility and practicality. Within walking distance, there is an abundance of restaurants and cafes to explore and enjoy outside of work. Close by, you can also find Sharjah Aquarium
This instructor-led, live training in Sharjah (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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