makiisthebes/LeNet5-experimental

LeNet5

Architecture is given, learning based on Deep Learning module. Best accuracy found is 99.06% based on these methods and architecture given.

Model Details

Model Description

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

• Hardware Type: RTX 3070Ti
• Hours used: 0.35h