The below list will be reorganized. * Basic topics * [ ] Show pytorch version * [ ] Fitting linear model * [ ] Create tensors (and variables?) * [ ] Tensor operations * [ ] Tensor shape * [ ] Define a model ([link](https://pytorch.org/docs/stable/nn.html#module)) * ([Define the network](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html#define-the-network)) * [ ] Loss function ([link](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html#loss-function)) * [ ] Optimize model parameters * ([Backprop](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html#backprop)) * ([Update the weights](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html#update-the-weights)) * [ ] Layers (models) and optimizers * [ ] Save/load parameters ([link](https://pytorch.org/tutorials/beginner/saving_loading_models.html#saving-loading-model-for-inference)) * [ ] Visualization with tensorboard ([link](https://pytorch.org/tutorials/intermediate/tensorboard_tutorial.html#visualizing-models-data-and-training-with-tensorboard)) * Advanced topics * [ ] Checkpoint optimizer's internal state ([link](https://pytorch.org/tutorials/beginner/saving_loading_models.html#saving-loading-a-general-checkpoint-for-inference-and-or-resuming-training)) * [ ] VAE * [ ] Quantile regression ([link](https://gist.github.com/taku-y/471b7eae5ef85badb1ddcfb389982bd6)) * References * [PyTorch tutorials](https://pytorch.org/tutorials/)
