The classification of white blood cells is critical for the diagnosis of anemia, leukemia and many other hematologic diseases. Current approaches are mainly based on traditional machine learning methods, which take quite a noticeable time and the recognition error rate is relatively high especially for the rare kinds of leukocytes. In this paper, we develop an automatic cell recognition system by applying deep learning methods. The results demonstrate that the proposed system performs well in the leukocytes recognition task with less hardware limitations and higher accuracy compared to the traditional ones.