This is a wrapper of Deeplearning4J library designed especially for time-series classification and prediction using (one-dimensional) convolutional neural networks and LSTMs.
- Classification of walking (gait) time series - classification of WISDM data set into 6 activities/categories (e.g., walking, standing, and jogging) using CNNs
All you need is Scala 2.11. To pull the library you have to add the following dependency to build.sbt
"org.in-cal" %% "incal-dl4j" % "0.2.3"
or to pom.xml (if you use maven)
<dependency> <groupId>org.in-cal</groupId> <artifactId>incal-dl4j_2.11</artifactId> <version>0.2.3</version> </dependency>
Development of this library has been significantly supported by a one-year MJFF Grant (2018-2019): Scalable Machine Learning And Reservoir Computing Platform for Analyzing Temporal Data Sets in the Context of Parkinson’s Disease and Biomedicine