What is TensorFlow?
TensorFlowis an open-source end-to-end platform for creating
Machine Learning applications. It is a symbolic math library that
uses dataflow and differentiable programming to perform various
tasks focused on training and inference of deep neural networks.
It allows developers to create machine learning applications using
various tools, libraries, and community resources.
How TensorFlow Works
TensorFlow enables you to build dataflow graphs and structures
to define how data moves through a graph by taking inputs as a
multi-dimensional array called Tensor. It allows you to construct a
flowchart of operations that can be performed on these inputs,
which goes at one end and comes at the other end as output.
TensorFlow Architecture
Tensorflow architecture works in three parts:
Preprocessing the data
Build the model
Train and estimate the model
It is called Tensorflow because it takes input as a multi-
dimensional array, also known astensors. You can construct a
sort offlowchartof operations (called a Graph) that you want to
perform on that input. The input goes in at one end, and then it
flows through this system of multiple operations and comes out
the other end as output.
This is why it is called TensorFlow because the tensor goes in it
flows through a list of operations, and then it comes out the other
side.
TensorFlow Components
