Updated KaTeX

README.md

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 # VGG11_BN
 
-VGG11_BN model pre-trained on ImageNet-1k. Originally introduced by Karen Simonyan and Andrew Zisserman in the influential paper, [**Very Deep Convolutional Networks for Large-Scale Image Recognition**](https://arxiv.org/abs/1409.1556) this specific configuration incorporates Batch Normalization to stabilize training and accelerate convergence, maintaining the classic 11-layer architecture characterized by $3 \times 3$ convolution filters and increasing depth.
+VGG11_BN model pre-trained on ImageNet-1k. Originally introduced by Karen Simonyan and Andrew Zisserman in the influential paper, [**Very Deep Convolutional Networks for Large-Scale Image Recognition**](https://arxiv.org/abs/1409.1556) this specific configuration incorporates Batch Normalization to stabilize training and accelerate convergence, maintaining the classic 11-layer architecture characterized by \\(3 \times 3 \\) convolution filters and increasing depth.
 
 ## Model description