MISSION 242

Nonlinear Activation Functions

Learn about the different activation functions and how they enable neural networks to capture nonlinearity.

Objectives

  • Learn about the different types of activation functions.
  • Learn how nonlinear activation functions improve neural network models.

Mission Outline

1. Introduction To Activation Functions
2. ReLU Activation Function
3. Trigonometric Functions
4. Reflecting On The Tangent Function
5. Hyperbolic Tangent Function
6. Reflecting On The Hyperbolic Tangent Function
7. Next Steps
8. Takeaways

deep-learning-fundamentals

Course Info:

Deep Learning Fundamentals

Advanced

The average completion time for this course is 10-hours.This course requires a premium subscription. This course includes one free mission, two paid missions, and one guided project. It is the 23rd course in the Data Scientist in Python path.

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