Introduction to Deep Learning

Introduction to Deep Learning

https://www.youtube.com/@AAmini/videos via YouTube Direct link

- Applying neural networks

8 of 15

8 of 15

- Applying neural networks

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Classroom Contents

Introduction to Deep Learning

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  1. 1 - Introduction
  2. 2 - Course information
  3. 3 - Why deep learning?
  4. 4 - The perceptron
  5. 5 - Activation functions
  6. 6 - Perceptron example
  7. 7 - From perceptrons to neural networks
  8. 8 - Applying neural networks
  9. 9 - Loss functions
  10. 10 - Training and gradient descent
  11. 11 - Backpropagation
  12. 12 - Setting the learning rate
  13. 13 - Batched gradient descent
  14. 14 - Regularization: dropout and early stopping
  15. 15 - Summary

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