About this document

Deep Learning for Inverse Problems by Subhosri Basu is a document available to read on EtoBox.

The document discusses the use of deep learning techniques, particularly neural networks, to solve inverse problems such as signal and image reconstruction. It outlines the training process for neural networks, the importance of architecture design, and compares various types of networks, including fully connected, convolutional, and attention layers. The document emphasizes that convolutional neural networks are currently the state-of-the-art for image reconstruction tasks, with specific architectures like

Author

Subhosri Basu

Language

EN