It is safe to say that one of the most powerful supervised deep learning models is convolutional neural networks (abbreviated as CNN or ConvNet). CNN is a class of deep learning networks, mostly applied to image data. However, CNN structures can be used in a variety of real-world problems including, but not limited to, image recognition, natural language processing, video analysis, anomaly detection, drug discovery, health risk assessment, recommender systems, and time-series forecasting.
CNNs achieve a high level of accuracy by assembling complex patterns ...
