Abstract:
A neural network that does the cha cha slide, while simultaneously calculating the optimal solution to the traveling salesman problem.
Introduction:
In this technical paper, we present our latest research on a novel application of neural networks in the field of dance.
Methodology:
Our approach involves training a deep learning model on a dataset of dance moves, including the waltz, tango, and the robot.
Results:
Our results show that the neural network can accurately predict the next step in a dance, given a sequence of previous steps.
Conclusion:
We hope that our research will pave the way for future applications of neural networks in the field of dance, including but not limited to, automated line dancing, robotic ballroom dancing, and AI-powered dance battles.
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