Introduction to Neural Architecture Search

One of the most important steps when building a deep learning model is choosing the best neural network architecture for the task. This process is based on trial and error and is both time and resource-consuming.
Neural architecture search (NAS) is a set of techniques that automatically find the best architecture.
In this workshop, you'll learn about this new concept and discover how to implement it to create your own models using the NNI toolkit!

|Key takeaways 🧑‍💻
Basics of deep learning models
Learn about Neural architecture search (NAS)
Create your own model using the NNI toolkit