What is a summary?
In TensorFlow, a value or set of values calculated at a particular step, usually used for tracking model metrics during training.
summary explained in plain English
Example
Practitioners refer to summary when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
People also read
- act
A stage in the agentic loop in which the agent executes the action chosen during the reason stage.
- Backpropagation
The process that tells a neural network which internal settings caused an error and how to adjust them, working backwards through layers.
- broadcasting
Expanding the shape of an operand in a matrix math operation to dimensions compatible for that operation.
- Einsum notation
An efficient notation for describing how two tensors are to be combined.
- feature engineering
A process that involves the following steps: 1.
- feedback
A stage in an agentic loop in which the agent evaluates the action taken during the act stage.
- function transformation
A function that takes a function as input and returns a transformed function as output.
- graph
In TensorFlow, a computation specification.
- layer
A set of neurons in a neural network.
- MCP
An open protocol that lets AI models connect to external tools, data sources, and services.