What is the pack neighbors API in Neural Structured Learning of TensorFlow ?
Saturday, 13 April 2024
by ankarb
The pack neighbors API in Neural Structured Learning (NSL) of TensorFlow is a important feature that enhances the training process with natural graphs. In NSL, the pack neighbors API facilitates the creation of training examples by aggregating information from neighboring nodes in a graph structure. This API is particularly useful when dealing with graph-structured data,
Can the structure input in Neural Structured Learning be used to regularize the training of a neural network?
Saturday, 13 April 2024
by ankarb
Neural Structured Learning (NSL) is a framework in TensorFlow that allows for the training of neural networks using structured signals in addition to standard feature inputs. The structured signals can be represented as graphs, where nodes correspond to instances and edges capture relationships between them. These graphs can be used to encode various types of
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Neural Structured Learning with TensorFlow, Training with natural graphs
Tagged under:
Artificial Intelligence, Graph Regularization, Neural Networks, NSL, Regularization Techniques, TensorFlow