TensorFlow Graph
A TensorFlow Graph is a graph data structure within TensorFlow.
References
2018
- https://www.tensorflow.org/programmers_guide/low_level_intro#graph
- QUOTE: A computational graph is a series of TensorFlow operations arranged into a graph. The graph is composed of two types of objects.
- Operations (or "ops"): The nodes of the graph. Operations describe calculations that consume and produce tensors.
- Tensors: The edges in the graph. These represent the values that will flow through the graph. Most TensorFlow functions return tf.Tensors.
- Important: tf.Tensors do not have values, they are just handles to elements in the computation graph.
- QUOTE: A computational graph is a series of TensorFlow operations arranged into a graph. The graph is composed of two types of objects.