Unit One: An Introduction to deep learning

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software-over-beer edited this page May 31, 2019 · 2 revisions

Below is the lesson plan for this unit

Lesson 1: Forward Propagation

Part A (Single hidden layer)

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Part B (Multiple hidden layers)

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Lesson 2: Universal Approximation theorem

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Lesson 3: Backward Propagation

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Lesson 4 (?): Activation functions

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Whatever else