Zero To Master website is a really good website to learn, I decided to learn PyTorch DeepLearning with them, and it was really great, I learned a lot of Great Topics about PyTorch - CNN, and much more.
- And their free E-Book that was really exciting - https://www.learnpytorch.io/
- GitHub Material Repo: https://github.com/mrdbourke/pytorch-deep-learning/
- You can find solutions here - https://github.com/mrdbourke/pytorch-deep-learning/tree/main/extras/solutions
- and this is the main branch - https://github.com/mrdbourke/pytorch-deep-learning/
- What is a tensor? - https://www.youtube.com/watch?v=f5liqUk0ZTw
- PyTorch Basics - https://pytorch.org/tutorials/beginner/basics/intro.html
- What is torch.nn, really? - https://pytorch.org/tutorials/beginner/nn_tutorial.html
- PyTorch Cheat Sheet - https://pytorch.org/tutorials/beginner/ptcheat.html
- Saving and Loading models - https://pytorch.org/tutorials/beginner/saving_loading_models.html
- Gradient Descent Algorithm (A deep dive) - https://pytorch.org/tutorials/beginner/saving_loading_models.html
- Gradient Descent (3Blue1Brown) - https://www.youtube.com/watch?v=IHZwWFHWa-w
- What is backprobagation - https://www.youtube.com/watch?v=Ilg3gGewQ5U
- Non-linear Activations (weighted sum, nonlinearity) - https://pytorch.org/docs/stable/nn.html#non-linear-activations-weighted-sum-nonlinearity
- Beyond Accuracy: Precision And Recall - https://willkoehrsen.github.io/statistics/learning/beyond-accuracy-precision-and-recall/
- MIT intro to DL - https://www.youtube.com/watch?v=7sB052Pz0sQ