From object recognition to machine translation, deep learning is being used to automate many complex tasks due to its impressive performance.
However, training a deep learning model for a new dataset is challenging. The number of potential deep learning models to fit a dataset is large due to the required complexity to learn the direct mapping from raw input to output, hence expertise is needed to find a suitable deep learning model among many candidates.
We created a demonstrator to allow industry partners to apply deep learning on new labeled datasets in an intuitive manner; it has a simple user interface to facilitate non-expert use of deep learning. The demonstrator includes a default deep learning model which performs well on a diverse set of datasets that we tried. For better performances, it allows the users to specify custom deep learning models for their datasets .