Position: ML Engineer
Category: Data Science
English level: fluent
Years of experience: 2.5


I've made a part of a research project in the Computer Science and System Engineering Department (U2IS) in ENSTA Paris. 
My task was to develop deep learning models to directly predict vessel movements from images of the sea surface. In this work, in order to predict ship motion from images, nine deep neural network models were created and tested. Such variety of models is caused by the complexity of the problem. Empirical results show that models with LSTM parts and using additional information such as the current ship motion improve the pitch and roll prediction accuracy. The best result was achieved by a [CNN LSTM encoder-decoder images PR] model. The best combination of parameters was found using the Hyperband algorithm.