DNAS, or Differentiable Neural Architecture Search, uses gradient-based methods to optimize ConvNet architectures, avoiding enumerating and training individual architectures separately as in previous methods .
DNAS, or Differentiable Neural Architecture Search, uses gradient-based methods to optimize ConvNet architectures, avoiding enumerating and training individual architectures separately as in previous methods .