Using GPUs to Scale and Speed-up Deep Learning

Using GPUs to Scale and Speed-up Deep Learning

Course
en
English
10 h
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  • From www.edx.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

Syllabus

Module 1 – Quick review of Deep Learning
Intro to Deep Learning
Deep Learning Pipeline

Module 2 – Hardware Accelerated Deep Learning
How to accelerate a deep learning model?
Running TensorFlow operations on CPUs vs. GPUs
Convolutional Neural Networks on GPUs
Recurrent Neural Networks on GPUs

Module 3 – Deep Learning in the Cloud
Deep Learning in the Cloud
How does one use a GPU

Module 4 – Distributed Deep Learning
* Distributed Deep Learning

Module 5 – PowerAI vision
Computer vision
Image Classification
* Object recognition in Videos.

Prerequisite

None.

Instructors

Saeed Aghabozorgi
PhD, Sr. Data Scientist
IBM

Editor

International Business Machines Corporation, known by its acronym IBM, is an American multinational computer hardware, software and services company.

The company was formed on 16 June 1911 from the merger of the Computing Scale Company and the Tabulating Machine Company under the name Computing Tabulating Recording Company (CTR). It changed its name to International Business Machines Corporation on 14 February 1924. It was given the nickname Big Blue in reference to the dark blue colour long associated with the company. In the 1970s and 1980s, IBM was the world's largest market capitalisation.

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