From 2b89a75c49a315652b08b40566113a4b3c5f74a4 Mon Sep 17 00:00:00 2001 From: "Jeffrey A. Dean" Date: Fri, 18 Nov 2016 13:38:35 -0800 Subject: Clarify that our definition is a subset of the true meaning of a mathematical Tensor (just the multi-dimensional aspect, not the other properties). Change: 139617013 --- tensorflow/g3doc/get_started/basic_usage.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) (limited to 'tensorflow/g3doc/get_started/basic_usage.md') diff --git a/tensorflow/g3doc/get_started/basic_usage.md b/tensorflow/g3doc/get_started/basic_usage.md index 89d154709a..41b4d8882b 100644 --- a/tensorflow/g3doc/get_started/basic_usage.md +++ b/tensorflow/g3doc/get_started/basic_usage.md @@ -11,11 +11,11 @@ To use TensorFlow you need to understand how TensorFlow: ## Overview TensorFlow is a programming system in which you represent computations as -graphs. Nodes in the graph are called *ops* (short for operations). An op -takes zero or more `Tensors`, performs some computation, and produces zero or -more `Tensors`. A `Tensor` is a typed multi-dimensional array. For example, -you can represent a mini-batch of images as a 4-D array of floating point -numbers with dimensions `[batch, height, width, channels]`. +graphs. Nodes in the graph are called *ops* (short for operations). An op takes +zero or more `Tensors`, performs some computation, and produces zero or more +`Tensors`. In TensorFlow terminology, a `Tensor` is a typed multi-dimensional +array. For example, you can represent a mini-batch of images as a 4-D array of +floating point numbers with dimensions `[batch, height, width, channels]`. A TensorFlow graph is a *description* of computations. To compute anything, a graph must be launched in a `Session`. A `Session` places the graph ops onto -- cgit v1.2.3