Energy Propagation in Deep Convolutional Neural Networks

Understand

Many practical machine learning tasks employ very deep convolutional neural networks.

• Such large depths pose formidable computational challenges in training and operating the network.
• It is therefore important to understand how fast the energy contained in the propagated signals (a.k.a.
• feature maps) decays across layers.