Abstract:
Artificial neural networks have seen a big surge in popularity. The reason
for that is the fact that a lot of different areas, such as photo/video –
oriented tasks (object detection, object recognition, semantic segmentation,
bounding boxes etc.), neural machine translation, optical character
recognition, automated driving and many others, are at the moment the
best application of such an approach. Moreover, the use of so called “deep”
neural networks is getting widely known now. While having both the
computational power increase (modern GPUs are helping with the matter)
and the access to enormous amounts of data pushes machine learning
engineers and researchers to give up the idea of shallow networks (the
ones that have few layers).
