Minor readme changes

README.md

@@ -14,10 +14,12 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
 
 # CIFAR10 Image classification using a Custom ResNet Model
 
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 ## What is the app about?
 
 [This app](https://huggingface.co/spaces/nviraj/ERA-V1-Assignment12) built using [Gradio](https://www.gradio.app/) provides an interface to run inferences for CIFAR10 image classification using a custom ResNet model trained using PyTorch and Lightning with \>90% accuracy.
 
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 ### What input does it require?
 
 - **Example Input**
@@ -41,6 +43,7 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
   - Do you want to see GradCAM for Misclassified Images and how many?
     - This is useful to see what parts of the image led to incorrect classification
 
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 ### What is the output?
 
 - Predictions for top number of classes chosen as well as the predicted class
@@ -48,6 +51,7 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
 - Misclassified Images by the model
 - GradCAM for Misclassified Images by the model
 
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 ### How was the model built?
 
 - Model was trained using a custom ResNet model trained for just 24 epochs with 91.4% validation accuracy
@@ -56,6 +60,7 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
   - [Modules](https://github.com/nviraj/era-v1/tree/main/Session%2012/Submission/modules)
   - [Model](https://github.com/nviraj/era-v1/tree/main/Session%2012/Submission/models)
 
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 ### Links
 
 - [GradCAM?](https://arxiv.org/abs/1610.02391)