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Creating new musical pieces using sequence based modeling!
Language detection is an increasing field of importance in today's world. We are designing a model that can detect the language given a sample of words in that language.
In this work, we propose an improved version of Cutout, which utilizes per-pixel importance scores created by a model interpretability method, Grad-CAM. We call this method Gutout.
Transfers the input sentences given from human users to some more structured and detailed paragraphs, which could enhance the performance of conversation generation of GPT-2.
