1D Convolutional Neural Networks and Applications: A Survey

Understand

During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations.

• CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and subsampling layers.
• Deep 2D CNNs with many hidden layers and millions of parameters have the ability to learn complex objects and patterns providing that they can be trained on a massive size visual database with ground-truth labels.
• With a proper training, this unique ability makes them the primary tool for various engineering applications for 2D signals such as images and video frames.