Update CIFAR10 README.md to address the issue in loading old checkpoints

Added note on how to load old CIFAR10 weights using the refactored model. 

Basically the 'module.' prefix pertaining to DataParallel wrapper needs to be removed (or the model needs to be wrapped in DataParallel), and more importantly, the extra dropout layers need to be removed except for the ones after maxpooling layers. 
These are explained in the

Author: Coderx7

cifar/README.md

@@ -50,9 +50,8 @@ Simply initiate the training like :
 `python3 main.py ./data/cifar.python --dataset cifar10 --arch simplenet_cifar_5m --save_path ./snapshots/simplenet --epochs 540 --batch_size 100 --workers 2`
 
 
-Note 1: the initial learning rate, and optimization policy is hard coded just like caffe.  
-Note 2: for testing the cifar10/100 weights located in the repository, use the `simplenet_cifar_5m_extra_pool` model instead. see [issue #5](https://github.com/Coderx7/SimpleNet_Pytorch/issues/5) for more information. 
-
+Note 1: The initial learning rate, and optimization policy is hard coded just like caffe.  
+Note 2: For testing the cifar10/100 weights located in the repository, use the `simplenet_cifar_5m_extra_pool` model instead. see [issue #5](https://github.com/Coderx7/SimpleNet_Pytorch/issues/5) and [Error loading checkpoint#7](https://github.com/Coderx7/SimpleNet_Pytorch/issues/7#issuecomment-1932491193) for more information.
 
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