vb100/Deep-Learning---Recognize-Infected-Cells-by-Malaria--Adam--Sigmoid-

The project contain folders for labeled infected and non-infected cells by malaria. The code define an 4 layers ANN that learning to recognize infected cells by a given shuffled examples from working directory and provide a learning curve as output. For optimization Adam and MiniBatch methods have been applied (Tensorflow).

Python