diff --git a/recipes_source/recipes_index.rst b/recipes_source/recipes_index.rst index e842c19bae5..86438135e1d 100644 --- a/recipes_source/recipes_index.rst +++ b/recipes_source/recipes_index.rst @@ -1,6 +1,6 @@ PyTorch Recipes --------------------------------------------- -Recipes are bite-sized bite-sized, actionable examples of how to use specific PyTorch features, different from our full-length tutorials. +Recipes are bite-sized, actionable examples of how to use specific PyTorch features, different from our full-length tutorials. .. raw:: html @@ -40,14 +40,14 @@ Recipes are bite-sized bite-sized, actionable examples of how to use specific Py .. customcarditem:: :header: Defining a Neural Network - :card_description: Learn how to use PyTorch's torch.nn package to create and define a neural network the MNIST dataset. + :card_description: Learn how to use PyTorch's torch.nn package to create and define a neural network for the MNIST dataset. :image: ../_static/img/thumbnails/cropped/defining-a-network.PNG :link: ../recipes/recipes/defining_a_neural_network.html :tags: Basics .. customcarditem:: :header: What is a state_dict in PyTorch - :card_description: Learn how state_dict objects, Python dictionaries, are used in saving or loading models from PyTorch. + :card_description: Learn how state_dict objects and Python dictionaries are used in saving or loading models from PyTorch. :image: ../_static/img/thumbnails/cropped/what-is-a-state-dict.PNG :link: ../recipes/recipes/what_is_state_dict.html :tags: Basics @@ -90,7 +90,7 @@ Recipes are bite-sized bite-sized, actionable examples of how to use specific Py .. customcarditem:: :header: Zeroing out gradients in PyTorch - :card_description: Learn when you should zero out graidents and how doing so can help increase the accuracy of your model. + :card_description: Learn when you should zero out gradients and how doing so can help increase the accuracy of your model. :image: ../_static/img/thumbnails/cropped/zeroing-out-gradients.PNG :link: ../recipes/recipes/zeroing_out_gradients.html :tags: Basics