Deep Learning Institute

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
Image Classification with NVIDIA DIGITS
Signal Processing Using NVIDIA DIGITS

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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:

• Implement common deep learning workflows, such as image classification and object detection
• Experiment with data, training parameters, network structure, and other strategies to increase performance and capability
• Deploy your neural networks to start solving real-world problems

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

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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:

• Convert text to machine-understandable representations and classical approaches
• Implement distributed representations (embeddings) and understand their properties
• Train machine translators from one language to another

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

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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:

• Accelerating CPU-only applications to run their latent parallelism on GPUs
• Utilising essential CUDA memory management techniques to optimise accelerated applications
• Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
• Leveraging command line and visual profiling to guide and check your work

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

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