The training data and the testing data is available in the folder dataSet.
And the models are available in the folder Models, with file named as - Model.ipynb which is the main file,
and all the rest models are for the data that the first model(Model.ipynb) was unable to recognize correctly, as this project is based on a multi - layered neural network model.
The writing convention that I have used for naming the models is like all the alphabets that a model is recognizing are written ahead of the underscore.
Like - model-bw_dru, which means this model is recognizing the alphabets D, R and U, respectively.
The training data and the testing data is available in the folder dataSet. And the models are available in the folder Models, with file named as - Model.ipynb which is the main file, and all the rest models are for the data that the first model(Model.ipynb) was unable to recognize correctly, as this project is based on a multi - layered neural network model.
The writing convention that I have used for naming the models is like all the alphabets that a model is recognizing are written ahead of the underscore. Like - model-bw_dru, which means this model is recognizing the alphabets D, R and U, respectively.