RANS

RANS, or Residual Neural Network Architecture Search, is a method that automatically finds and optimizes the best neural network designs for specific tasks. It uses algorithms to explore numerous possible arrangements of network layers, connections, and parameters, then selects the most effective configuration. This approach helps develop more accurate and efficient models without requiring extensive manual tuning, saving time and expertise. In essence, RANS automates the process of designing neural networks to improve their performance in tasks like image recognition, speech processing, and data analysis.