Course curriculum

    1. Overview

    2. Prerequisites

    3. File to download

    4. How Neural Networks work

    5. Activation function

    6. Activation of Neuron

    7. Significance of Weights

    8. Learning Process

    9. Challenge Problem

    10. Challenge answer

    11. Update weight process

    12. Backpropagation

    13. Training process loop

    14. What's special

    15. Non Linear Function

    16. Compare with Linear Regression

    17. Classifying Image

    18. Usual Imports

    19. Load Data

    20. Split Data

    21. Preprocessing steps

    22. Challenge Problems

    1. Recap continued

    2. Challenge idea

    3. Make our Model

    4. Challenge answer

    5. Recap

    6. Challenge answer

    7. Summary

    8. Training Runtime

    9. Evaluate model

    10. Create Pipeline

    11. Congratulations on completing this course!

About this course

  • $295.00
  • 33 lessons
  • 1 hour of video content