TensorFlow in a Nutshell 

TensorFlow is a framework created by Google for creating Deep Learning models. Deep Learning is a category of machine learning models that use multi-layer neural networks. The idea of deep learning has been around since 1943 when neurophysiologist Warren McCulloch and mathematician Walter Pitts wrote a paper on how neurons might work and they model a simple neural network using electrical circuits.

Many, many developments have occurred since then. These highly accurate mathematical models are extremely computationally expensive. With recent advances in processing power from GPUs and increasing CPU power Deep Learning has been exploding with popularity.

TensorFlow was created with processing power limitations in mind. Open sourced in November 2015, this library can be ran on computers of all kinds including smartphones. It allows for instant creation of trained production models. It is currently the number 1 Deep Learning framework at the time of writing this article.


Make sure to check out Part One: Basics

In this article we will Demonstrate a Wide ‘N Deep Network that will use wide linear model trained simultaneously with a feed forward network for more accurate predictions than some tradition machine learning techniques. This hybrid learning method will be used to predict Survival probability of Titanic passengers.

These hybrid learning methods are already in production by Google in the Play store for app suggestions. Even Youtube is using similar hybrid learning techniques to suggest videos.

The code for this article is available here.


Make sure to check out the other articles here.