通常,这些应用需要大量的数据 来馈送和训练复杂的神经网络。 Typically, these applications require vast amounts of data to feed and train complex neural networks. 但是,使用这些360度的视频应用程序需要大量的数据 ,而且必须在互联网上提供这些数据,这提出了一个重大的挑战。 But these 360-degree video applications require a LOT of data , and delivering these experiences across the Internet presents a major challenge. 但所有的深度学习模型都需要大量的数据 来训练AI识别相关的模式。 But any deep learning model needs a lot of data to train the AI in recognizing related patterns. 但是,“机器学习”不是变魔术,它需要大量的数据 作辅垫。 But machine learning is not magic; to be effective, it needs large amounts of data . 但是直到最近,AI社区还是大都拒绝了它们,因为它们需要大量的数据 和计算能力。 But until recently, the AI community largely dismissed them because they required vast amounts of data and computing power.
计算机域的专家需要大量的数据 来创建和训练这些模型。 Domain experts require a vast amount of data to create and train these models. 你可能知道,分类器需要大量的数据 ,并试图预测或分类一个新的数据元素属于哪个类。 As you probably remember, a classifier takes a bunch of data and attempts to predict or classify which class a new data element belongs to. 如今的AI需要大量的数据 才能产生有意义的结果,但目前依然无法熟练利用其他应用程序。 AI today needs massive amounts of data to be able to produce meaningful results but is unable to leverage experiences from another application. 这是因为深度学习算法需要大量的数据 来完美地理解它。 This is because deep learning algorithms need a large amount of data to understand it perfectly. 它可能需要大量的数据 -例如数百万的图像-并识别某些特征。 It can take a huge amount of data - millions of images, for instance- and recognize certain characteristics. 他们需要大量的数据 来压力测试这些产品,并确保它们适合最终用户。 They need massive amounts of data to stress test these products and ensure that they're suitable for their end users. 为了建立强大的AI,工程师需要大量的数据 ,而没有哪个国家能像14亿中国人那样产生如此多的数据。 To build robust AI, engineers require large quantities of data , and nothing produces data quite like 1.4 billion humans. 通常情况下,从头开始训练一个神经网络需要大量的数据 ,但你并不总是能够获得足够的数据。 Usually, you need a lot of data to train a Neural Network from scratch but you don't always have access to enough data. . 对计算机来说却不是这样,它需要大量的数据 才能达到同等水平的理解力。 The same cannot be said for computers, which require vast quantities of data to acquire the same level of understanding. 的确,我们需要大量的数据 来训练一个典型的深度学习模型。 It is true that we need a large amount of data to train a typical deep learning model. 并且神经网络需要大量的数据 用于训练--有时不得不模拟数百万的图像。 And the networks require huge amounts of data for the training- sometimes millions of images taken from simulations. 因此,有用的深层学习需要大量的数据 来准确估算最有预见性的参数。 Therefore, useful deep learning requires big data to accurately estimate parameters that are most predictive. 气候系统是复杂的,而对其状态的完整描述将需要大量的数据 。 The climate system is complex, and a complete description of its state would require huge amounts of data . 训练一个能够解决这些复杂的3D视觉任务的机器学习系统通常需要大量的数据 。 Training machine learning systems capable of solving these complex 3D vision tasks most often requires large quantities of data . 但是直到最近,AI社区还是大都拒绝了它们,因为它们需要大量的数据 和计算能力。 Until recently, however, they were largely dismissed by the AI community because they needed huge amounts of data and processing power.
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