Merge pull request #648 from Alejandro-Casanova/patch-15

fixed typo

08_pytorch_paper_replicating.ipynb

@@ -4361,7 +4361,7 @@
     "4. Try repeating the steps from excercise 3 but this time use the \"`ViT_B_16_Weights.IMAGENET1K_SWAG_E2E_V1`\" pretrained weights from [`torchvision.models.vit_b_16()`](https://pytorch.org/vision/stable/models/generated/torchvision.models.vit_b_16.html#torchvision.models.vit_b_16).\n",
     "    * **Note:** ViT pretrained with SWAG weights has a minimum input image size of `(384, 384)` (the pretrained ViT in exercise 3 has a minimum input size of `(224, 224)`), though this is accessible in the weights `.transforms()` method.\n",
     "5. Our custom ViT model architecture closely mimics that of the ViT paper, however, our training recipe misses a few things. Research some of the following topics from Table 3 in the ViT paper that we miss and write a sentence about each and how it might help with training:\n",
-    "    * ImageNet-22k pretraining (more data).\n",
+    "    * ImageNet-21k pretraining (more data).\n",
     "    * Learning rate warmup.\n",
     "    * Learning rate decay.\n",
     "    * Gradient clipping."