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AN ELEVATOR PITCH ON DEEP LEARNING

机译:深度学习的电梯

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Machine learning improves all aspects of our life and very few days pass where we don't interact with a machine learning driven application. For example, we may use fitness trackers that monitor the quality of our sleep. Before leaving to work, we may check the weather forecast. To get to work, we use a navigation system that predicts the fastest route to our first meeting. On the road, we use voice commands to interact with our phone. Web searches and e-commerce recommendations are based on machine learning. Cameras detect faces when we take a picture and our email inboxes are protected by spam filters, which are designed using machine learning tools.
机译:机器学习改善了我们生活的方方面面,并且在短短的几天之内,我们不再与机器学习驱动的应用程序进行交互。例如,我们可能使用健身追踪器来监控我们的睡眠质量。下班前,我们可能会检查天气预报。为了开始工作,我们使用了导航系统,该系统可以预测到第一次会议的最快路线。在旅途中,我们使用语音命令与手机进行交互。 Web搜索和电子商务推荐基于机器学习。当我们拍照时,相机会检测到人脸,而我们的电子邮件收件箱则受到使用机器学习工具设计的垃圾邮件过滤器的保护。

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