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1. Classifying different sign gestures using Residual Nets algorithm of Convolution Network.Implementation is done in keras and tensorflow

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2. A real time object detection and localization algorithm which uses state of the art YOLO algorithm for Detection and non max suppression for localization

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3. We Recognize face using One Shot Learning and Face Verification is done using Triplet loss function on a pre-trained Inception Model

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4. The contents of image A is juxtaposed with the style of image B in Neural Style Transfer. This is done with help of pretrained VGG model.

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5. This Classifier Recognizes the characters in the Devnagri script using Convolutional Neural Network. It achieved a 96.6% accuracy on test set

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