Deep Learning Based Bacteria Classification

Deep learning, also called hierarchical learning, aims to analyze the structure of input data from simple to complex with the help of multi-layer neural networks. Particularly the distinctive features obtained by Convolutional Neural Network (CNN) make the classification process much easier. The methods based on classification with deep learning are used in many different areas in parallel with the development of technology. Medicine, military, education, industry, trade etc. these methods are used for different purposes in the field. Deep learning based bacteria classification was performed in the study. The DIBaS data set was used as the data set. The study was performed using VggNet and AlexNet training model in MATLAB environment. For classification, 33 different bacteria species were used and 98,25% for VggNet and 97,53% for AlexNet.