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  1. Autoencoders Autoencoders Public

    Stacked sparse auto encoders developed without using any libraries, Denoising auto encoder developed using 2 layer neural network without any libraries, using Python.

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    Mobile app to use EEG brain wave signals for user authentication. Implemented using machine learning algorithms implemented on Cloud, Fog and Native servers.

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    Deep Learning practice problems. Binary and Multi class classifiers, CNN, RNN, Transfer Learning. Tensorflow, Keras. Also with sample data sets.

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