Systems and means of deep learning for classification problems

The paper provides a guidance on deep learning net construction and optimization using graphics processing unit. The paper proposes to use GPU-instances on the cloud platform Amazon Web Services. The problem of time series classification is considered. The paper proposes to use a deep learning net, i. e., a multilevel superposition of models, belonging to the following classes: restricted Boltzman machines, autoencoders, and neural nets with softmax-function in output. The proposed method was tested on a dataset containing time segments from mobile phone accelerometer. The analysis of relation between classification error, dataset size, and superposition parameter amount has been conducted.