Online or onsite, instructor-led live Torch training courses demonstrate through interactive hands-on practice the principles and unique features of Torch, and how it can be applied in real-world applications.
Torch 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 Torch training can be carried out locally on customer premises in Surrey or in NobleProg corporate training centers in Surrey.
NobleProg -- Your Local Training Provider
Surrey - King Cross
7404 King George Blvd, Surrey, Canada, V3W 1N6
In one of Canada's fastest growing major cities, our King's Cross business centre is a practical place to do business in Surr...
In one of Canada's fastest growing major cities, our King's Cross business centre is a practical place to do business in Surrey. As well as on-site businesses from banking, insurance and beyond, regular bus links and the King George Boulevard offer fast, convenient connections to the city centre. Newton Exchange the main bus hub connecting to south Surrey the lower main land is but a block away.
King's Cross is a popular mixed-use community site, home to coffee shops, retailers and fast food - ideal for breaks or informal meetings. And with heavy footfall and visibility from the highway, it combines the exposure you'd expect from a city centre with the convenience of an out of town location.
Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks for Machine and Deep Learning and is used by companies such as Facebook, Google, Twitter, NVIDIA, AMD, Intel, and many others.
In this instructor-led, live training, we cover the principles of Torch, its unique features, and how it can be applied in real-world applications. We step through numerous hands-on exercises all throughout, demonstrating and practicing the concepts learned.
By the end of the course, participants will have a thorough understanding of Torch's underlying features and capabilities as well as its role and contribution within the AI space compared to other frameworks and libraries. Participants will have also received the necessary practice to implement Torch in their own projects.
Format of the Course
Overview of Machine and Deep Learning
In-class coding and integration exercises
Test questions sprinkled along the way to check understanding
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