HIGHLIGHTS
SUMMARY
Deep learning (DL), or deep structured learning (DSL), is part of machine_learning (ML), which is based on artificial neural_networks (ANN). The architecture of DL, which has been applied to different fields such as computer vision, drug design, image processing, board game programs, medical image processing, driver identification, etc., such as deep neural_networks (DNN), deep reinforcement learning (DRL), convolutional neural_networks (CNN), etc. Researchers` contributions to convolutional neural_networks have helped computer vision advance quickly in recent years. Prior to CIFAR, only small, low-resolution datasets could be used to train neural_networks for classification tasks. To ensure . . .
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