Classification of mnist hand sign language alphabets into 25 classes.
An ensemble of network results may provide improved accuracy compared to any single network. This video goes through the code that explains the ensemble process of the network predictions.
Dataset: https://www.kaggle.com/datamunge/sign-language-mnist
Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_for_microscopists
Dataset: https://www.kaggle.com/datamunge/sign-language-mnist