Hindi Handwritten Character recognition using Constitutional Deep neural networks

Implementation Details:

1. Execute load_image_into_pickle.py file
a. It takes input of images from folder /Dataset
b. Image pre-process and feature extraction done
c. Saves output file in folder “dataset_pickles” as dataset_46_classes.pickle
2. Execute train_model.py
a. Gets input file dataset_46_classes.pickle
b. Convolutional deep neural network used for training model
c. output of train model is stored in folder /out
3. Execute predict_model.py
a. It takes input of test images from folder /test_images
b. Model compares with the weight model created during training “hhrc_nn.h5py”
c. Predicts output

Python demo

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