cs501r_f2018:lab2
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| **Step 4.** Construct | **Step 4.** Construct | ||
| - | * a model class that inherits from “nn.Module” | + | |
| - | ** Check out [[https://pytorch.org/docs/stable/nn.html#torch.nn.Module]] | + | - a model class that inherits from “nn.Module” |
| - | ** Your model can contain any submodules you wish -- nn.Linear is a good, easy, starting point | + | * Check out [[https://pytorch.org/docs/stable/nn.html#torch.nn.Module]] |
| - | * a dataset class that inherits from “Dataset” and produces samples from | + | * Your model can contain any submodules you wish -- nn.Linear is a good, easy, starting point |
| - | [[https://pytorch.org/docs/stable/torchvision/datasets.html#fashion-mnist]] | + | - a dataset class that inherits from “Dataset” and produces samples from [[https://pytorch.org/docs/stable/torchvision/datasets.html#fashion-mnist]] |
| - | * You may be tempted to use this dataset directly (as it already inherits from Dataset) but we want you to learn how a dataset is constructed. Your class should be pretty simple and output items from FashionMNIST | + | * You may be tempted to use this dataset directly (as it already inherits from Dataset) but we want you to learn how a dataset is constructed. Your class should be pretty simple and output items from FashionMNIST |
| **Step 5.** Create instances of the following objects: | **Step 5.** Create instances of the following objects: | ||
cs501r_f2018/lab2.txt · Last modified: 2021/06/30 23:42 (external edit)
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