{"id":4723,"date":"2020-07-15T08:55:34","date_gmt":"2020-07-15T12:55:34","guid":{"rendered":"https:\/\/blogs.mathworks.com\/deep-learning\/?p=4723"},"modified":"2021-04-06T15:47:53","modified_gmt":"2021-04-06T19:47:53","slug":"matlab-deep-learning-training-course","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/deep-learning\/2020\/07\/15\/matlab-deep-learning-training-course\/","title":{"rendered":"MATLAB Deep Learning Training Course"},"content":{"rendered":"

Developed in Collaboration with NVIDIA Deep Learning Institute<\/h2>\r\n

<\/h6>\r\nMathWorks is pleased to announce a new course that has been developed in collaboration with NVIDIA Deep Learning Institute<\/a> (DLI).\u00a0\u00a0\"\"\r\n

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<\/h6>\r\nSince MATLAB began supporting Deep Learning in 2017, we have been promoting the exclusive use of NVIDIA GPUs. (My first GPU was an NVIDIA Tesla K40, which I still have in my office today \u2013 mainly for sentimental reasons<\/em><\/span>). MATLAB automatically finds and uses available GPUs for deep learning applications, so you don\u2019t have to explicitly program the GPU to experience acceleration in training and inference.\r\n
<\/h6>\r\nAnd with the MATLAB container for deep learning now available from the\u00a0NVIDIA GPU Cloud registry (NGC<\/u><\/a>), the support for NVIDIA GPUs continues. Suffice to say, MATLAB is a great option for engineers and scientists that want GPU-acceleration within a familiar high-productivity environment.\r\n
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What\u2019s in the training?<\/strong><\/h2>\r\n
<\/h6>\r\nI went directly to the source to understand the why and how behind the training. One of the authors of the training course, Renee Bach @MathWorks answered a few of my questions.\r\n
<\/h6>\r\nQ: What can I expect to learn after taking this course? This isn\u2019t just a \u201cwhat is deep learning\u201d course, right?<\/strong>\r\n
<\/h6>\r\n\r\n\r\n\r\n
A:<\/strong> This is more than an introduction to deep learning. The agenda includes:\r\n