Optimizing Inference in Deep Learning Models

深度学习目前因几项令人印象深刻的壮举而成为媒体关注的焦点，包括谷歌的自动驾驶汽车，智能个人助理中的语音识别（苹果的Siri，谷歌的Now，微软的Cortana和亚马逊的Alexa），以及在GO游戏中击败世界冠军。其他值得注意的成就包括在图像识别，分析粒子加速器数据以及预测非编码DNA突变对基因表达和疾病的影响方面创造新纪录。虽然对深度学习的定义还没有达成共识，但深度学习涉及到

Deep learning is currently in the media spotlight due to several impressive feats, including Google's self-driving cars, voice recognition in intelligent personal assistants (Apple's Siri, Google's Now, Microsoft's Cortana, and Amazon's Alexa), and beating a world champion in the game GO. Other notable achievements involve setting new records in image recognition, analyzing particle accelerator data, and predicting the effects of mutations in non-coding DNA on gene expression and disease. Although there is no consensus on the definition of deep learning, deep learning involves