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Fix titles capitalization in docs
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kaushikb11 authored and lexierule committed Mar 29, 2022
1 parent a775804 commit 17215ed
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22 changes: 11 additions & 11 deletions docs/source/common_usecases.rst
Expand Up @@ -14,7 +14,7 @@ Common use cases
.. customcalloutitem::
:description: Learn to train Lightning models on the cloud
:header: Cloud training
:header: Cloud Training
:button_link: clouds/cloud_training.html
:card_style: text-container-small

Expand All @@ -26,7 +26,7 @@ Common use cases

.. customcalloutitem::
:description: Learn to train on your university or company's cluster
:header: Cluster training
:header: Cluster Training
:button_link: clouds/cluster.html
:card_style: text-container-small

Expand All @@ -38,13 +38,13 @@ Common use cases

.. customcalloutitem::
:description: Save time and money by training until key metrics stop improving or time has elapsed
:header: Early stopping
:header: Early Stopping
:button_link: common/early_stopping.html
:card_style: text-container-small

.. customcalloutitem::
:description: Here you'll find the latest SOTA training techniques such as SWA, accumulated gradients, etc...
:header: Effective training techniques
:header: Effective Training Techniques
:button_link: advanced/training_tricks.html
:card_style: text-container-small

Expand All @@ -56,13 +56,13 @@ Common use cases

.. customcalloutitem::
:description: Before coding a complex model, use lightning-flash to create a baseline in a few lines of code
:header: Fast baselines
:header: Fast Baselines
:button_link: ecosystem/flash.html
:card_style: text-container-small

.. customcalloutitem::
:description: Enable fault-tolerant training in clusters/clouds where machines might fail (ie: pre-emtible machines)
:header: Fault-tolerant training
:header: Fault-Tolerant Training
:button_link: advanced/fault_tolerant_training.html
:card_style: text-container-small

Expand Down Expand Up @@ -92,13 +92,13 @@ Common use cases

.. customcalloutitem::
:description: Use the model registry to mix and match your models and Datamodules
:header: Model and Datamodule registry
:header: Model and Datamodule Registry
:button_link: common/lightning_cli.html#multiple-models-and-or-datasets
:card_style: text-container-small

.. customcalloutitem::
:description: Train 1TB+ parameter models with these advanced built-in techniques
:header: Model parallelism
:header: Model Parallelism
:button_link: advanced/model_parallel.html
:card_style: text-container-small

Expand Down Expand Up @@ -134,13 +134,13 @@ Common use cases

.. customcalloutitem::
:description: Work with data on any local or cloud filesystem such as S3 on AWS, GCS on Google Cloud, or ADL on Azure
:header: Remote filesystems
:header: Remote Filesystems
:button_link: common/remote_fs.html
:card_style: text-container-small

.. customcalloutitem::
:description: Building the next Deepspeed, FSDP or fancy scaling technique? Add them to Lightning here
:header: Strategy registry
:header: Strategy Registry
:button_link: advanced/strategy_registry.html
:card_style: text-container-small

Expand All @@ -152,7 +152,7 @@ Common use cases

.. customcalloutitem::
:description: Use models training on large datasets to achieve better results when you don't have much data
:header: Transfer learning (finetuning)
:header: Transfer Learning (finetuning)
:button_link: advanced/transfer_learning.html
:card_style: text-container-small

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2 changes: 1 addition & 1 deletion docs/source/index.rst
Expand Up @@ -102,7 +102,7 @@ Or read the `advanced install guide <starter/installation.html>`_

.. customcalloutitem::
:description: From hyperparameters sweeps to cloud training to Pruning and Quantization - Lightning covers the key use-cases.
:header: Common usecases
:header: Common Usecases
:button_link: common_usecases.html


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