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第 11 屆 iThome 鐵人賽

DAY 4
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Google Developers Machine Learning

ML Study Jam Journey系列 第 4

Day 04 Introduction (cont.)

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Summary

  1. AI first
  2. Create good ML datasets, then 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

Two stages of ML

  1. Train an ML model with examples (Training)
    • label - true answer
    • model - mathematical function
  2. Predict with a trained model (Inference)

Adjust function so that outputs of model for set of training inputs is as close as possible to the training labels


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Day 03 Introduction (cont.)
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Day 05 Introduction (cont.)
系列文
ML Study Jam Journey30
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