Getting started with Tensorflow

Artificial Neural Networks (ANN) research has been around for a long time. One of its earlier works was published by Waren McCulloch and Walter Pitts in 1943 where the authors developed one of the first computational models for ANNs¹. Prior to the early 2000s only rough frameworks were available and experienced ML practioners were required to build simple / moderate ANN approaches². With the surge interest in ANNs in 2012³ the landscape in Deep Learning (DL) frameworks started to change. Caffe, Chainer and Theano were arguably the top contenders in the early days and made the use of DL easier to the average Data Scientist.