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 Guayaquil or in NobleProg corporate training centers in Guayaquil.
NobleProg -- Your Local Training Provider
Guayaquil - Mall del Sol
Mall del Sol, 4° Piso de las Torres del Centro Comercial, , Guayaquil , ecuador
The center is on the fourth floor of the Towers of the Mall, which forms the commercial and financial district of Guayaquil, ...
The center is on the fourth floor of the Towers of the Mall, which forms the commercial and financial district of Guayaquil, Ecuador's largest city. The center is highly accessible as it's next to major roads in the city, and is strategically close to the port and the international airport, which is five minutes by car. A regular bus and taxi service is available at the Mall del Sol entrance.
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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