06. Gradient descent.zip

07. ANNs (Artificial Neural Networks).zip

08. Overfitting and cross-validation.zip

09. Regularization.zip

10. Metaparameters (activations, optimizers).zip

11. FFNs (Feed-Forward Networks).zip

12. More on data.zip

13. Measuring model performance.zip

14. FFN milestone projects.zip

15. Weight inits and investigations.zip

16. Autoencoders.zip

17. Running models on a GPU.zip

18. Convolution and transformations.zip

19. Understand and design CNNs.zip

20. CNN milestone projects.zip

21. Transfer learning.zip

22. Style transfer.zip

23. Generative adversarial networks.zip

24. RNNs (Recurrent Neural Networks) (and GRULSTM).zip

25. Ethics of deep learning.zip

26. Where to go from here.zip