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第 11 屆 iThome 鐵人賽

DAY 2
0
  1. Why ML? How Google does ML? AI first
  2. ML with TensorFlow
    • Creating good ML datasets
    • Building your first ML model with TensorFlow
  3. Improving ML accuracy
  4. ML at scale
  5. Specialized ML models
    • Image classification models
    • Sequence models
    • Recommendation systems

Why Google?
Over 4,000 TensorFlow machine learning models in production at Google

Why Google Cloud?
Take advantage of the scalability, reliability, and sheer engineering prowess


上一篇
Day 01 前言
下一篇
Day 03 Introduction (cont.)
系列文
ML Study Jam Journey30
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