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updated readme with mixed precision tutorial
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README.md

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@@ -45,6 +45,7 @@ If you have any specific video suggestion please make a comment on YouTube :)
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* [![Youtube Link][logo]](https://youtu.be/g6kQl_EFn84)   [Loading and saving model](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_loadsave.py)
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* [![Youtube Link][logo]](https://youtu.be/ZoZHd0Zm3RY)   [Custom Dataset (Images)](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/Basics/custom_dataset)
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* [![Youtube Link][logo]](https://youtu.be/9sHcLvVXsns)   [Custom Dataset (Text)](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/Basics/custom_dataset_txt)
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* [![Youtube Link][logo]](https://youtu.be/ks3oZ7Va8HU)   [Mixed Precision Training](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_mixed_precision_example.py)
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* [![Youtube Link][logo]](https://youtu.be/qaDe0qQZ5AQ)   [Transfer Learning and finetuning](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_pretrain_finetune.py)
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* [![Youtube Link][logo]](https://youtu.be/Zvd276j9sZ8)   [Data augmentation using Torchvision](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/Basics/pytorch_transforms.py)
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* [![Youtube Link][logo]](https://youtu.be/rAdLwKJBvPM)   [Data augmentation using Albumentations](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/Basics/albumentations_tutorial)
@@ -130,4 +131,4 @@ If you have any specific video suggestion please make a comment on YouTube :)
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* [VGG](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/TensorFlow/CNN_architectures/VGGNet)
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* [GoogLeNet](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/TensorFlow/CNN_architectures/GoogLeNet)
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* [ResNet](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/TensorFlow/CNN_architectures/ResNet)
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