MathWorks and NVIDIA offer deep learning course
The two-day course is being offered in both instructor-led online and self-paced on-demand formats throughout the rest of 2020. On completion, engineers, scientists and researchers will be ready to apply GPU-accelerated deep learning techniques in MATLAB to common applications such as image classification, autonomous systems, voice recognition and object detection.
MathWorks provides a comprehensive platform for building AI-driven systems that is based on decades of supporting complex engineering projects. GPU Coder generates optimised CUDA code from MATLAB code for deep learning, embedded vision and autonomous systems, which allows developers to build solutions that run efficiently on NVIDIA GPUs. In addition, a MATLAB container from NVIDIA GPU Cloud (NGC), a hub for GPU-optimised AI and HPC software, provides a complete deep learning workflow that uses NVIDIA GPUs to accelerate neural network training to scale up performance across nodes.
“The NVIDIA Deep Learning Institute plays a crucial role in developing hands-on training and showcasing how to use new techniques like deep learning to solve complex problems,” said David Rich, Director, MATLAB Marketing, MathWorks. “This course offers a practical approach to deep learning that will help NVIDIA users to iterate quickly and converge on a solution that meets product and time-to-market requirements.”
“There’s been a surge of interest in the Deep Learning with MATLAB course using NVIDIA GPUs,” added Will Ramey, Senior Director and Global Head of Developer Programs at NVIDIA. “Learning how to quickly and easily apply the power of NVIDIA GPUs to accelerate neural network training streamlines the process of application development and allows for more rapid deployment and faster time to market.”
For dates and locations, visit the Deep Learning with MATLAB course schedule.
Originally published here.
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