Using GPUs to Scale and Speed-up Deep Learning

Online Course

IBM

edX
Using GPUs to Scale and Speed-up Deep Learning

What is the course about?

Using GPUs to Scale and Speed-up Deep Learning
The course Using GPUs to Scale and Speed-up Deep Learning is an online class provided by IBM through edX. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

Training complex deep learning models with large datasets takes a long time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

Course description

Training a complex deep learning model with a very large dataset can take hours, days and occasionally weeks to train. So, what is the solution? Accelerated hardware. You can use accelerated hardware such as Google’s Tensor Processing Unit (TPU) or Nvidia GPU to accelerate your convolutional neural network computations time on the Cloud. These chips are specifically designed to support the training of neural networks, as well as the use of trained networks (inference). Accelerated hardware has recently been proven to significantly reduce training time.But the problem is that your data might be sensitive and you may not feel comfortable uploading it on a public cloud, preferring to analyze it on-premise.  In this case, you need to use an in-house system with GPU support. One solution is to use IBM’s Power Systems with Nvidia GPU and PowerAI. The PowerAI platform supports popular machine learning libraries and dependencies including Tensorflow, Caffe, Torch, and Theano.In this course, you’ll understand what GPU-based accelerated hardware is and how it can benefit your deep learning scaling needs. You’ll also deploy deep learning networks on GPU accelerated hardware for several problems, including the classification of images and videos.

Prerequisites & Facts

Using GPUs to Scale and Speed-up Deep Learning

Course Topic

Computer Science, Data Analysis and Statistics, Engineering

University, College, Institution

IBM

Course Skill Level

Intermediate

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Using GPUs to Scale and Speed-up Deep Learning

To obtain a verified certificate from edX / IBM you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (99.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
IBM
Using GPUs to Scale and Speed-up Deep Learning
provided by edX

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School: IBM
Topic: Computer Science, Data Analysis and Statistics, Engineering