AI Superstream - Efficient Machine Learning

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.6 GB
  • Uploaded Byfreecoursewb
  • Downloads34
  • Last checkedJun. 12th '22
  • Date uploadedJun. 09th '22
  • Seeders 10
  • Leechers9

Infohash : CC871EFC0AAD25FCA975B6A67E20085FF4410365

AI Superstream: Efficient Machine Learning



https://CourseHulu.com

Instructors: Shingai Manjengwa, ...
February 2022 | Duration: 3h 12m
Video: MP4 1920x1080 48 KHz | English
Size: 2.6 GB

Sponsored by Intel

Machine learning has grown significantly, and with it the footprint of ML models—which can make training, deploying, and monitoring difficult and expensive. What if you could make your ML models and systems more efficient, whether in the form of cost, compute, storage, latency, or carbon footprint? Join us for this Superstream where experts dive into techniques for using fewer resources and delivering better quality.

About the AI Superstream Series: This three-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results.

Files:

[ CourseHulu.com ] AI Superstream - Efficient Machine Learning
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here !
    • 001-INTRODUCTION_AND_JESSY.MP4 (254.0 MB)
    • 002-MICHAEL_HOUSTON-ENERGY.MP4 (447.0 MB)
    • 003-MEENA_ARUNACHALAM-PERF.MP4 (510.0 MB)
    • 004-XIN_LI-OPTIMIZE_DEEP_L.MP4 (345.2 MB)
    • 005-MARYAM_MEHRI_DEHNAVI-B.MP4 (421.1 MB)
    • 006-MOTY_FANIA-BEST_PRACTI.MP4 (308.2 MB)
    • 007-ALISHBA_IMRAN_COMPUTAT.MP4 (329.3 MB)
    • AUDIO
      • 001-INTRODUCTION_AND_JESSY.MP4 (6.7 MB)
      • 002-MICHAEL_HOUSTON-ENERGY.MP4 (11.9 MB)
      • 003-MEENA_ARUNACHALAM-PERF.MP4 (13.7 MB)
      • 004-XIN_LI-OPTIMIZE_DEEP_L.MP4 (10.6 MB)
      • 005-MARYAM_MEHRI_DEHNAVI-B.MP4 (11.6 MB)
      • 006-MOTY_FANIA-BEST_PRACTI.MP4 (11.6 MB)
      • 007-ALISHBA_IMRAN_COMPUTAT.MP4 (11.4 MB)
    • Bonus Resources.txt (0.4 KB)
    • SUBS
      • 001-INTRODUCTION_AND_JESSY.SRT (27.4 KB)
      • 001-INTRODUCTION_AND_J_002.SRT (26.4 KB)
      • 001-INTRODUCTION_AND_J_003.SRT (28.9 KB)
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      • 001-INTRODUCTION_AND_J_006.SRT (23.5 KB)
      • 001-INTRODUCTION_AND_J_007.SRT (25.0 KB)
      • 001-INTRODUCTION_AND_J_008.SRT (23.6 KB)
      • 002-MICHAEL_HOUSTON-ENERGY.SRT (48.5 KB)
      • 002-MICHAEL_HOUSTON-EN_002.SRT (51.5 KB)
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      • 002-MICHAEL_HOUSTON-EN_006.SRT (44.2 KB)
      • 002-MICHAEL_HOUSTON-EN_007.SRT (42.8 KB)
      • 002-MICHAEL_HOUSTON-EN_008.SRT (42.8 KB)
      • 003-MEENA_ARUNACHALAM-PERF.SRT (52.4 KB)
      • 003-MEENA_ARUNACHALAM-_002.SRT (59.7 KB)
      • 003-MEENA_ARUNACHALAM-_003.SRT (46.7 KB)
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      • 003-MEENA_ARUNACHALAM-_005.SRT (50.1 KB)
      • 003-MEENA_ARUNACHALAM-_006.SRT (51.0 KB)
      • 003-MEENA_ARUNACHALAM-_007.SRT (50.4 KB)
      • 003-MEENA_ARUNACHALAM-_008.SRT (43.3 KB)
      • 004-XIN_LI-OPTIMIZE_DEEP_L.SRT (38.5 KB)
      • 004-XIN_LI-OPTIMIZE_DE_002.SRT (39.4 KB)
      • 004-XIN_LI-OPTIMIZE_DE_003.SRT (32.8 KB)
      • 004-XIN_LI-OPTIMIZE_DE_004.SRT (38.6 KB)
      • 004-XIN_LI-OPTIMIZE_DE_005.SRT (35.4 KB)
      • 004-XIN_LI-OPTIMIZE_DE_006.SRT (46.2 KB)
      • 004-XIN_LI-OPTIMIZE_DE_007.SRT (40.3 KB)
      • 004-XIN_LI-OPTIMIZE_DE_008.SRT (32.9 KB)
      • 005-MARYAM_MEHRI_DEHNAVI-B.SRT (41.0 KB)
      • 005-MARYAM_MEHRI_DEHNA_002.SRT (40.6 KB)
      • 005-MARYAM_MEHRI_DEHNA_003.SRT (41.8 KB)
      • 005-MARYAM_MEHRI_DEHNA_004.SRT (35.0 KB)
      • 005-MARYAM_MEHRI_DEHNA_005.SRT (35.0 KB)
      • 005-MARYAM_MEHRI_DEHNA_006.SRT (42.5 KB)
      • 005-MARYAM_MEHRI_DEHNA_007.SRT (38.2 KB)
      • 005-MARYAM_MEHRI_DEHNA_008.SRT (46.8 KB)
      • 006-MOTY_FANIA-BEST_PRACTI.SRT (42.2 KB)
      • 006-MOTY_FANIA-BEST_PR_002.SRT (43.5 KB)
      • 006-MOTY_FANIA-BEST_PR_003.SRT (41.0 KB)
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      • 006-MOTY_FANIA-BEST_PR_005.SRT (35.9 KB)
      • 006-MOTY_FANIA-BEST_PR_006.SRT (42.8 KB)
      • 006-MOTY_FANIA-BEST_PR_007.SRT (48.8 KB)
      • 006-MOTY_FANIA-BEST_PR_008.SRT (38.8 KB)
      • 007-ALISHBA_IMRAN_COMPUTAT.SRT (48.9 KB)
      • 007-ALISHBA_IMRAN_COMP_002.SRT (48.0 KB)
      • 007-ALISHBA_IMRAN_COMP_003.SRT (48.3 KB)
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      • 007-ALISHBA_IMRAN_COMP_005.SRT (44.4 KB)
      • 007-ALISHBA_IMRAN_COMP_006.SRT (50.2 KB)
      • 007-ALISHBA_IMRAN_COMP_007.SRT (40.4 KB)
      • 007-ALISHBA_IMRAN_COMP_008.SRT (40.4 KB)

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