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Many artificial neural network techniques have been adopted in the research, academics and industries to address the challenges in computer vision, speech and pattern recognitions, face alignment, and detection. These include; Speech recognition Artificial Neural Networks have capability successfully applied in speech or communication recognition. In the past decades, ML algorithms have applied widely in areas like acoustic modeling and automatic speech recognition. Computer vision Computer vision aims at making computers to accurately understand and process visual data efficiently like videos and images. Computer vision alludes to the logical control which studies how to separate data from images in artificial frameworks. Sub domains of computer vision include object detection and object recognition, object estimation, object position, event detection, scene reconstruction, image restoration, image editing, video enhancement, and statistical learning. Hence, in computer vision, ANN mo