  The objective of the study is to evaluate the efficiency of a multi layer
neural network models built by combining Recurrent Neural Network(RNN) and
Convolutional Neural Network(CNN) for solving the problem of classifying
different types of White Blood Cells. This can have applications in the
pharmaceutical and healthcare industry for automating the analysis of blood
tests and other processes requiring identifying the nature of blood cells in a
given image sample. It can also be used in the diagnosis of various
blood-related diseases in patients.
