Probing Convolutional Neural Networks for Event Reconstruction in {\gamma}-Ray Astronomy with Cherenkov Telescopes

Understand

A dramatic progress in the field of computer vision has been made in recent years by applying deep learning techniques.

• State-of-the-art performance in image recognition is thereby reached with Convolutional Neural Networks (CNNs).
• CNNs are a powerful class of artificial neural networks, characterized by requiring fewer connections and free parameters than traditional neural networks and exploiting spatial symmetries in the input data.
• Moreover, CNNs have the ability to automatically extract general characteristic features from data sets and create abstract data representations which can perform very robust predictions.