Have now seen several tutorials, this one starts simply I will be following the other parts and give some commentary as I can. For a definition of TensorFlow, see how Google describes it at their site:
.... TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. ... "
Tensorflow Tutorial : Part 1 – Introduction
By Vivek Kalyanarangan on September 12, 2017
In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The first part will focus on introducing tensorflow, go through some applications and touch upon the architecture.
This post is the first part of the multi-part series on a complete tensorflow tutorial –
Tensorflow Tutorial – Part 1: Introduction
Tensorflow Tutorial – Part 2: Getting Started
Tensorflow Tutorial – Part 3: Building the first model ..... "
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