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  • University of Cincinnati
  • Cincinnati

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  1. A-J-Alphabet-Prediction A-J-Alphabet-Prediction Public

    Used Regularization, Dropout and Exponential Decay for learning Rate and achieved 95.2%

    Jupyter Notebook

  2. Face-Recognition Face-Recognition Public

    Jupyter Notebook

  3. Machine-Learning Machine-Learning Public

    MATLAB

  4. Neural-Style-Transfer Neural-Style-Transfer Public

    Jupyter Notebook

  5. ResNET-50 ResNET-50 Public

    Created a 50 layer Residual Network with convolutional and identity blocks for SIGNS dataset

    Jupyter Notebook 1

  6. SIGN-Dataset SIGN-Dataset Public

    Created a Convolutional Neural Network to classify hand signs

    Jupyter Notebook