Introduction to Deep Learning

Introduction to Deep Learning

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

​ - Summary

15 of 15

15 of 15

​ - Summary

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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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