What is Neural Architecture Search (NAS) and what makes it computationally challenging?

Machine Learning Hard

Machine Learning — Hard

What is Neural Architecture Search (NAS) and what makes it computationally challenging?

Key points

  • NAS automates the discovery of neural network architectures
  • Search algorithms like evolutionary, RL-based, and gradient-based are used
  • The search space is vast, making it computationally intensive
  • Training is required to evaluate each candidate architecture

Ready to go further?

Related questions