CNN-Based Image Analysis for EEG Signal Characterization.This article focuses on an attempt to classify and recognize the characterized images of EEG signals directly.  CNN (Convolutional Neural Network) models are usually used for recognition of EEG raw signals about movement and Imagery Dataset.  However, feeding the extracted feature images into a CNN and training them can be an efficient and intuitive response to the potential of EEG for brain mapping. 
CNN
CNN-Based Image Analysis for EEG Signal Characterization.This article focuses on an attempt to classify and recognize the characterized images of EEG signals directly.  CNN (Convolutional Neural Network) models are usually used for recognition of EEG raw signals about movement and Imagery Dataset.  However, feeding the extracted feature images into a CNN and training them can be an efficient and intuitive response to the potential of EEG for brain mapping. 
CNN
CNN-Based Image Analysis for EEG Signal Characterization.This article focuses on an attempt to classify and recognize the characterized images of EEG signals directly.  CNN (Convolutional Neural Network) models are usually used for recognition of EEG raw signals about movement and Imagery Dataset.  However, feeding the extracted feature images into a CNN and training them can be an efficient and intuitive response to the potential of EEG for brain mapping. 
CNN
CNN-Based Image Analysis for EEG Signal Characterization.This article focuses on an attempt to classify and recognize the characterized images of EEG signals directly.  CNN (Convolutional Neural Network) models are usually used for recognition of EEG raw signals about movement and Imagery Dataset.  However, feeding the extracted feature images into a CNN and training them can be an efficient and intuitive response to the potential of EEG for brain mapping. 
CNN
The direct recognition of the described photos uses a lot of GPU (graphics computing unit) resources, but for the characterized images are easier for people to read than the original images. 
GPU