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Implementation of various state-of-the-art architectures in Tensorflow, Keras and Python

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neuralnets

Implementation of various state-of-the-art architectures in Tensorflow and Python

All the ipynb files were executed on Google Colab Tesla K80 GPU

Dataset used when writing the codes: EMNIST Digits(Converted to ".npy" file format beforehand)

Number of training Images: 240000

Number of test Images: 40000

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Implementation of various state-of-the-art architectures in Tensorflow, Keras and Python

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