Recent Advances in Convolutional Neural Networks

Understand

In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing.

• Among different types of deep neural networks, convolutional neural networks have been most extensively studied.
• Leveraging on the rapid growth in the amount of the annotated data and the great improvements in the strengths of graphics processor units, the research on convolutional neural networks has been emerged swiftly and achieved state-of-the-art results on various tasks.
• In this paper, we provide a broad survey of the recent advances in convolutional neural networks.