• Sai Srinivas Vellela
• Khader Basha Sk
• Venkateswara Reddy B

The objective of the study is to evaluate the efficiency of on a multi layer neural network models built by combining Recurrent Neural Network(RNN) and Convolutional Neural Network(CNN) for solving the problem of classifying of different kind 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 diagnosis of various blood related diseases in patients.

Recurrent Neural Network, Convolutional Neural Network, Blood Cell.

"A Blood Cell Classification Using a Deep Learning Algorithm CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.258-263, February-2018, Available :http://www.jetir.org/papers/JETIR1802339.pdf

"A Blood Cell Classification Using a Deep Learning Algorithm CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp258-263, February-2018, Available at : http://www.jetir.org/papers/JETIR1802339.pdf