Teaching You To Solve Problems With Deep Learning
NVIDIA Deep Learning Institute (DLI) workshops, hosted by Boston, offer hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning.
Through self-paced labs and instructor-led workshops, the Deep Learning Institute teaches the latest techniques for designing, architecting, and deploying neural network-powered machine learning across a variety of application domains.
Students of the DLI will explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms. Boston are pleased to be DLI Delivery Partners providing training globally. Whilst we organise several public courses through the year, and our trainers TA at GTC's across the world, Boston recommends Private Workshops for organisations, so that they may benefit from our trainers' expertise to tailor workshops to their requirements.
Instructor-Led Workshops |
Online Labs |
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Boston are pleased to host a number of "Fundamentals of Deep Learning" courses on-site, at events or even privately to your organisation, at your location or externally. For more information on any of these courses please click the links below. Fundamentals of Deep Learning for Computer Vision A full-day workshop covering the foundations of deep learning and offers hands-on training in Image Classification, Object Detection, and Neural Network Deployment using popular frameworks. Fundamentals of Deep Learning for Natural Language Processing Learn the latest deep learning techniques to understand textual input using natural language processing (NLP). Upon completion, you’ll be proficient in NLP using embeddings in similar applications. Fundamentals of Accelerated Computing with CUDA C/C++ Upon completion, you’ll be able to accelerate and optimise existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. |
NVIDIA offer a range of self-paced online labs, available globally and many are available without any cost. Examples of courses include: Applications of Deep Learning with Caffe, Theano, and Torch |
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MORE ONLINE LABS |
Fundamentals of Deep Learning for Computer Vision Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities. In this workshop, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:
Upon completion, you’ll be able to start solving problems on your own with deep learning. |
Prerequisites: Basic experience with neural networks and Python programming, familiarity with linguistics Frameworks: TensorFlow, Keras Assessment Type: Code-based, multiple choice Languages: English, Chinese PRICING / FIND OUT MORE |
Fundamentals of Deep Learning for Natural Language Processing Learn the latest deep learning techniques to understand textual input using natural language processing (NLP). You’ll learn how to:
Upon completion, you’ll be proficient in NLP using embeddings in similar applications. |
Prerequisites: Basic experience with neural networks and Python programming, familiarity with linguistics Frameworks: TensorFlow, Keras Assessment Type: Code-based, multiple choice Languages: English, Chinese PRICING / FIND OUT MORE |
Fundamentals of Accelerated Computing with CUDA C/C++ The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:
Upon completion, you’ll be able to accelerate and optimise existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast. |
Prerequisites: Basic experience with C/C++ Languages: English PRICING / FIND OUT MORE |
To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available