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Malayalam Character Recognition using CNNs in python

Jupyter Notebook 97.07% Python 1.01% TeX 1.93%
malayalam character recognition deep-learning convolutional-neural-networks cs231n fastai malayalam-character-recognition weight npy

malayalam-character-recognition's Introduction

Malayalam-Character-Recognition

Refer to Project-Notebooks folder for updates

Project-Notebooks
=================

  • Dataset_Preparation : Converts images to 32X32 Grayscale images with adaptive thresholding
  • NP-Dataset : X.npy and y.npy are numpy arrays of (34553,32,32) & (34553,) dimensions
  • Training_Dataset_Generation: Functions to Reshape and Normalize data.OneHotEncode Labels etc
  • Models/ : Folder which contains weights of trained Models
  • CNN_Model : Model is designed here. Entire training pipeline happens here. Weights are saved in the end
  • Prediction_Estimation : Generated the Prediction. Used for performance evaluation,Plotting etc


  • Training Results
    ================

    Accuracy & Sample Predictions
    ============================
    Trained the model using floydhub service
    Results are below :





    Model Used
    ==========



    Deployment
    ==========



    Coming Soon
    ===========

    1. Adding more data + augmentation
    2. Deployment in a web-app

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