When being the first in your company to apply a deep learning algorithmon your data you often have to overcome several obstacles. One challengeis to understand your data and to form a training and test dataset.Another one is to get your algorithms and its performance accepted andintegrated in your existing processing workflow.Convolutional Neural Networks have become a standard tool in processingimage data. They have shown to reach human-level classificationperformance on some object recognition tasks.In this talk I will present my experiences in getting started using aconvolutional neural network for classification of 2D sensor data. Iwill point out the importance of understanding your data and give hintsof how to select your train and test datasets according to therequirements. Furthermore, I will show how to get a feature extractorout of the classifier and how to visualize it.