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Structuring Machine Learning Projects

This chapter contains my notes from the third course of the Deep Learning Specialization: Structuring Machine Learning Projects.

This chapter is broken down into:

  1. Introduction to ML Strategy

  2. Setting Up Your Goal

  3. Comparing to Human-Level Performance

  4. Error Analysis

  5. Mismatched Training and Dev/Test Set

  6. Learning from Multiple Tasks

  7. End-to-End Deep Learning

PreviousHyperparameter Tuning, Batch Normalization and Programming FrameworksNextIntroduction to ML Strategy

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