deephyper.nas#
This sub-package his dedicated to the definition of neural architecture search space and evaluation strategy. The implementation is using Tensorflow 2.X and Keras API. The main concepts are:
* deephyper.nas.KSearchSpace: An object to define a search space of neural architectures.
* deephyper.nas.run: A sub-package to define the evaluation strategy of a neural architecture (e.g., training procedure).
* deephyper.nas.operation: A sub-package to define operations of the neural architecture search space.
* deephyper.nas.node: A sub-package to define nodes of the neural architecture search space which is represented as a direct acyclic graph.
Classes
A KSearchSpace represents a search space of neural networks. |
|
A NxSearchSpace is an search_space based on a networkx graph. |
This module provides different loss functions. |
|
This module provides different metric functions. |
|
This module provides the available node types to build a |
|
Operations for neural architecture search space definition. |
|
The |
|
Library of neural architecture search spaces. |
|