Update README.md

Explanation of model.

README.md

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+# LeNet5
+
+<!-- Provide a quick summary of what the model is/does. -->
+Architecture is given, learning based on Deep Learning module.
+Best accuracy found is `99.06%` based on these methods and architecture given.
+
+## Model Details
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6319030647a84df2a5dd106c/1ea8h0ejxJBJE5R3Sib9B.png)
+
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+Experimented with LeNet5 implemented in PyTorch, using dataloader from dataset files,
+Main experiments include:
+
+- Normalising dataset with mean and std of training dataset.
+- Applying data augmentations of 35 degrees rotation and affine.
+- Xavier Initialisation of Parameters.
+- Increasing and Descreasing Angles
+- Appling inverse Laplacian filter to enhance image.
+- Not sure if model is overfitting thus need graph per training.
+
+
+- **Developed by:** Michael Peres
+- **Model type:** LeNet5
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model:** LeNet5
+
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+- **Hardware Type:** RTX 3070Ti
+- **Hours used:** 0.35h