PLU | Deep Learning Instances And Frameworks On AWS (2019 EN)

Discussion in 'Information Technology' started by Kanka, Jul 19, 2019.

  1. Kanka

    Kanka Well-Known Member Loyal User

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    Company: Pluralsight
    Author: David Tucker
    Full Title: Deep Learning Instances And Frameworks On AWS
    Year: 2019
    Language: English
    Genre: Educational: Cloud computing
    Skill Level: Intermediate
    Price: -
    -
    Files: MP4 (+ Exercise Files, Slides .PDF, Subtitles .SRT)
    Time: 01:23:09
    Video: AVC, 1280 x 720 (1.778) at 30.000 fps, 200 kbps
    Audio: AAC at 96 Kbps, 2 channels, 48.0 KHz



    This course will cover the launching and configuration of EC2 instances using the Deep Learning AMIs provided by AWS as well as leveraging the included deep learning frameworks.

    Deep learning enables a new level of data analysis, but configuring custom compute resources to gain these insights can be extremely difficult. In this course, Deep Learning Instances and Frameworks on AWS, you will gain the ability to launch deep learning instances on EC2 and ECS. First, you will learn the types of Deep Learning AMIs provided by AWS. Next, you will analyze how to leverage popular deep learning frameworks on these instances. Finally, you will review how to manage and scale your deep learning activities on these instances. When you are finished with this course, you will be able to launch and utilize custom deep learning instances and leverage popular deep learning frameworks.


    Lessons:
    1. Course Overview
    01. Course Overview
    2. Introduction to Deep Learning AMIs
    02. Overview
    03. Deep Learning on AWS
    04. AWS Compute for Deep Learning
    05. Deep Learning AMIs
    06. Instance Types for Deep Learning
    07. Summary
    3. Leveraging Deep Learning AMIs
    08. Overview
    09. DLAMI Deep Dive
    10. Launching a DLAMI Instance
    11. Configuring Our DLAMI Instance
    12. Leveraging Deep Learning Frameworks
    13. Summary
    4. Managing Deep Learning Instances
    14. Overview
    15. Monitoring, Upgrades, and Performance
    16. Monitoring DLAMI Instances with CloudWatch
    17. Elastic Inference Overview
    18. Utilizing Elastic Inference with the DLAMI
    19. Deep Learning Containers Overview
    20. Utilizing Deep Learning Containers
    21. Summary


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